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ORCIDIEEE/ACM Transactions on Computational Biology and Bioinformatics, Volume 20
Volume 20, Number 1, January - February 2023
- Qiaoming Liu
, Xudong Zhao, Guohua Wang:
A Clustering Ensemble Method for Cell Type Detection by Multiobjective Particle Optimization. 1-14 - Kun Liu, Hong-Dong Li, Yaohang Li, Jun Wang, Jianxin Wang:
A Comparison of Topologically Associating Domain Callers Based on Hi-C Data. 15-29 - Jan Klosa, Noah Simon, Volkmar Liebscher, Dörte Wittenburg:
A Fitted Sparse-Group Lasso for Genome-Based Evaluations. 30-38 - Chengzhuan Yang, Lincong Fang, Qian Yu, Hui Wei:
A Learning Robust and Discriminative Shape Descriptor for Plant Species Identification. 39-51 - Feng Zhou, Meng-Meng Yin, Jing-Xiu Zhao, Junliang Shang, Jin-Xing Liu:
A Method Based On Dual-Network Information Fusion to Predict MiRNA-Disease Associations. 52-60 - Qiang Yu, Xiao Zhang, Yana Hu, Shengpin Chen, Liying Yang:
A Method for Predicting DNA Motif Length Based On Deep Learning. 61-73 - Weixian Huang, Kaiwen Tan, Ziye Zhang, Jinlong Hu, Shoubin Dong:
A Review of Fusion Methods for Omics and Imaging Data. 74-93 - Ashish Ranjan, Archana Tiwari, Akshay Deepak:
A Sub-Sequence Based Approach to Protein Function Prediction via Multi-Attention Based Multi-Aspect Network. 94-105 - Jun Bai, Chuantao Yin, Jianfei Zhang, Yanmeng Wang, Yi Dong, Wenge Rong, Zhang Xiong:
Adversarial Knowledge Distillation Based Biomedical Factoid Question Answering. 106-118 - Katrin Sophie Bohnsack, Marika Kaden, Julia Abel, Thomas Villmann:
Alignment-Free Sequence Comparison: A Systematic Survey From a Machine Learning Perspective. 119-135 - Steffy Maria Joseph, P. S. Sathidevi:
An Automated cDNA Microarray Image Analysis for the Determination of Gene Expression Ratios. 136-150 - Sahar Iravani, Tim O. F. Conrad:
An Interpretable Deep Learning Approach for Biomarker Detection in LC-MS Proteomics Data. 151-161 - Kanchan Jha, Sriparna Saha:
Analyzing Effect of Multi-Modality in Predicting Protein-Protein Interactions. 162-173 - Shankarachary Ragi, Md Hafizur Rahman, Jamison Duckworth, Kalimuthu Jawaharraj, Parvathi Chundi, Venkataramana Gadhamshetty:
Artificial Intelligence-Driven Image Analysis of Bacterial Cells and Biofilms. 174-184 - Hao Zhang, Chuanxu Yan, Yewei Xia, Jihong Guan, Shuigeng Zhou:
Causal Gene Identification Using Non-Linear Regression-Based Independence Tests. 185-195 - Naser Anjum, Raian Latif Nabil, Rakibul Islam Rafi, Md. Shamsuzzoha Bayzid, Mohammad Saifur Rahman:
CD-MAWS: An Alignment-Free Phylogeny Estimation Method Using Cosine Distance on Minimal Absent Word Sets. 196-205 - Tuan D. Pham:
Classification of Caenorhabditis Elegans Locomotion Behaviors With Eigenfeature-Enhanced Long Short-Term Memory Networks. 206-216 - Ichcha Manipur, Maurizio Giordano, Marina Piccirillo, Seetharaman Parashuraman, Lucia Maddalena:
Community Detection in Protein-Protein Interaction Networks and Applications. 217-237 - Rizwan Qureshi, Bin Zou, Tanvir Alam, Jia Wu, Victor H. F. Lee, Hong Yan:
Computational Methods for the Analysis and Prediction of EGFR-Mutated Lung Cancer Drug Resistance: Recent Advances in Drug Design, Challenges and Future Prospects. 238-255 - Jingbo Yang, Denan Zhang, Yiyang Cai, Kexin Yu, Mingming Li, Lei Liu, Xiujie Chen:
Computational Prediction of Drug Phenotypic Effects Based on Substructure-Phenotype Associations. 256-265 - Wook Lee, Seokwoo Lee, Kyungsook Han:
Constructing a Cancer Patient-Specific Network Based on Second-Order Partial Correlations of Gene Expression and DNA Methylation. 266-276 - Zhi-Hao Liu, Cunmei Ji, Jian-Cheng Ni, Yu-Tian Wang, Li-Juan Qiao, Chun-Hou Zheng:
Convolution Neural Networks Using Deep Matrix Factorization for Predicting Circrna-Disease Association. 277-284 - Yang Hua, Xiaoning Song, Zhenhua Feng, Xiaojun Wu, Josef Kittler, Dong-Jun Yu:
CPInformer for Efficient and Robust Compound-Protein Interaction Prediction. 285-296 - Kailong Li, Lijun Quan, Yelu Jiang, Yan Li, Yiting Zhou, Tingfang Wu, Qiang Lyu:
ctP2ISP: Protein-Protein Interaction Sites Prediction Using Convolution and Transformer With Data Augmentation. 297-306 - Xiuquan Du, Jiajia Hu:
Deep Multi-Label Joint Learning for RNA and DNA-Binding Proteins Prediction. 307-320 - Xiaohui Yang, Zijun Xi, Jie-Ping Li, Xin-Lei Feng, Xiao-Hong Zhu, Si-Yi Guo, Chun-Peng Song:
Deep Transfer Learning-Based Multi-Object Detection for Plant Stomata Phenotypic Traits Intelligent Recognition. 321-329 - Onur Can Uner, Halil Ibrahim Kuru, Ramazan Gokberk Cinbis, Öznur Tastan, A. Ercüment Çiçek:
DeepSide: A Deep Learning Approach for Drug Side Effect Prediction. 330-339 - Zimo Huang, Jun Wang, Zhongmin Yan, Lin Wan, Maozu Guo:
Differential Gene Expression Prediction by Ensemble Deep Networks on Histone Modification Data. 340-351 - Jinghang Lin, Xiaoran Tong, Chenxi Li, Qing Lu:
Expectile Neural Networks for Genetic Data Analysis of Complex Diseases. 352-359 - Lucia Williams, Alexandru I. Tomescu, Brendan Mumey:
Flow Decomposition With Subpath Constraints. 360-370 - Huadong Wang, Jianhui Sun, Mengya Liu, Chun-Hou Zheng, Junfeng Xia, Na Cheng:
frDSM: An Ensemble Predictor With Effective Feature Representation for Deleterious Synonymous Mutation in Human Genome. 371-377 - Cheng-Hong Yang, Hsiu-Chen Huang, Ming-Feng Hou, Li-Yeh Chuang, Yu-Da Lin:
Fuzzy-Based Multiobjective Multifactor Dimensionality Reduction for Epistasis Analysis. 378-387 - Jianwei Li, Duanyang Wang, Zhenwu Yang, Ming Liu:
HEGANLDA: A Computational Model for Predicting Potential Lncrna-Disease Associations Based On Multiple Heterogeneous Networks. 388-398 - Qie Liu, Junhao Li, Mingyu Dong, Min Liu, Yi Chai:
Identification of Gene Regulatory Networks Using Variational Bayesian Inference in the Presence of Missing Data. 399-409 - Ashwin Lahorkar, Hrushikesh Bhosale, Aamod Sane, Vigneshwar Ramakrishnan, Valadi K. Jayaraman:
Identification of Phase Separating Proteins With Distributed Reduced Alphabet Representations of Sequences. 410-420 - Jiazhou Chen, Guoqiang Han, Aodan Xu, Tatsuya Akutsu, Hongmin Cai:
Identifying miRNA-Gene Common and Specific Regulatory Modules for Cancer Subtyping by a High-Order Graph Matching Model. 421-431 - Ning Wang, Jun Zhang, Bin Liu:
iDRBP-EL: Identifying DNA- and RNA- Binding Proteins Based on Hierarchical Ensemble Learning. 432-441 - Antonio R. Paiva, Giovanni Pilloni:
Inferring Microbial Biomass Yield and Cell Weight Using Probabilistic Macrochemical Modeling. 442-454 - Huanhuan Wang, Xiang Wu:
IPP: An Intelligent Privacy-Preserving Scheme for Detecting Interactions in Genome Association Studies. 455-464 - Yingyi Liu, Hong-Dong Li, Yunpei Xu, Yi-Wei Liu, Xiaoqing Peng, Jianxin Wang:
IsoCell: An Approach to Enhance Single Cell Clustering by Integrating Isoform-Level Expression Through Orthogonal Projection. 465-475 - Zhaowu Lu, Jun Wang, Rui Mao, Minhua Lu, Jun Shi:
Jointly Composite Feature Learning and Autism Spectrum Disorder Classification Using Deep Multi-Output Takagi-Sugeno-Kang Fuzzy Inference Systems. 476-488 - Yi Sun, Jian Wang, Hongfei Lin, Yijia Zhang, Zhihao Yang:
Knowledge Guided Attention and Graph Convolutional Networks for Chemical-Disease Relation Extraction. 489-499 - Yijie Ding, Wenying He, Jijun Tang, Quan Zou, Fei Guo:
Laplacian Regularized Sparse Representation Based Classifier for Identifying DNA N4-Methylcytosine Sites via $L_{2,1/2}$L2,1/2-Matrix Norm. 500-511 - Xingze Wang, Guoxian Yu, Zhongmin Yan, Lin Wan, Wei Wang, Lizhen Cui:
Lung Cancer Subtype Diagnosis by Fusing Image-Genomics Data and Hybrid Deep Networks. 512-523 - Mengmeng Kuang, Yong Zhang, Tak Wah Lam, Hing-Fung Ting:
MLProbs: A Data-Centric Pipeline for Better Multiple Sequence Alignment. 524-533 - Jin-Xing Liu, Meng-Meng Yin, Ying-Lian Gao, Junliang Shang, Chun-Hou Zheng:
MSF-LRR: Multi-Similarity Information Fusion Through Low-Rank Representation to Predict Disease-Associated Microbes. 534-543 - Xiaofeng Shi, Cheng Liang, Hong Wang:
Multiview Robust Graph-Based Clustering for Cancer Subtype Identification. 544-556 - Diego de S. Lima, Luiz J. A. Amichi, Maria A. Fernandez, Ademir Aparecido Constantino, Flávio A. V. Seixas:
NCYPred: A Bidirectional LSTM Network With Attention for Y RNA and Short Non-Coding RNA Classification. 557-565 - Wenming Wu, Xiaoke Ma:
Network-Based Structural Learning Nonnegative Matrix Factorization Algorithm for Clustering of scRNA-Seq Data. 566-575 - Chunjiang Yu, Xin Qi, Wenying Yan, Wentao Wu, Bairong Shen:
Next-Generation Sequencing Markup Language (NGSML): A Medium for the Representation and Exchange of NGS Data. 576-585 - Ali Akbar Jamali, Anthony J. Kusalik, Fang-Xiang Wu:
NMTF-DTI: A Nonnegative Matrix Tri-factorization Approach With Multiple Kernel Fusion for Drug-Target Interaction Prediction. 586-594 - Zhaoying Chai, Han Jin, Shenghui Shi, Siyan Zhan, Lin Zhuo, Yu Yang, Qi Lian:
Noise Reduction Learning Based on XLNet-CRF for Biomedical Named Entity Recognition. 595-605 - Tzu-Hsuan Wu, Peng-Chan Lin, Hsin-Hung Chou, Meng-Ru Shen, Sun-Yuan Hsieh:
Pathogenicity Prediction of Single Amino Acid Variants With Machine Learning Model Based on Protein Structural Energies. 606-615 - Ying He, Qinhu Zhang, Siguo Wang, Zhanheng Chen, Zhen Cui, Zhen-Hao Guo, De-Shuang Huang:
Predicting the Sequence Specificities of DNA-Binding Proteins by DNA Fine-Tuned Language Model With Decaying Learning Rates. 616-624 - Mukunthan Tharmakulasingam, Brian Gardner, Roberto La Ragione, Anil Fernando:
Rectified Classifier Chains for Prediction of Antibiotic Resistance From Multi-Labelled Data With Missing Labels. 625-636 - Ye Li, Fanhui Kong, Hui Cui, Fan Wang, Chunquan Li, Jiquan Ma:
SENIES: DNA Shape Enhanced Two-Layer Deep Learning Predictor for the Identification of Enhancers and Their Strength. 637-645 - Dhananjay Kimothi, Pravesh Biyani, James M. Hogan, Melissa J. Davis:
Sequence Representations and Their Utility for Predicting Protein-Protein Interactions. 646-657 - Jiazhou Chen, Wentao Rong, Guihua Tao, Hongmin Cai:
Similarity Fusion via Exploiting High Order Proximity for Cancer Subtyping. 658-667 - Vishal Rana, Eli Chien, Jianhao Peng, Olgica Milenkovic:
Small-Sample Estimation of the Mutational Support and Distribution of SARS-CoV-2. 668-682 - Romica Kerketta, M. Frank Erasmus, Bridget S. Wilson, Ádám M. Halász, Jeremy S. Edwards:
Spatial Stochastic Model of the Pre-B Cell Receptor. 683-693 - Hongxiao Wang, Hao Zheng, Danny Z. Chen:
TANGO: A GO-Term Embedding Based Method for Protein Semantic Similarity Prediction. 694-706 - Cui Su, Jun Pang:
Target Control of Asynchronous Boolean Networks. 707-719 - Evgenia Chunikhina, Paul Logan, Yevgeniy Kovchegov, Anatoly Yambartsev, Debashis Mondal, Andrey Morgun:
The C-SHIFT Algorithm for Normalizing Covariances. 720-730 - Xinxing Yang, Genke Yang, Jian Chu:
The Neural Metric Factorization for Computational Drug Repositioning. 731-741 - Nikhila T. Suresh, Vimina E. R., Krishnakumar U.:
Topology Driven Analysis of Protein - Protein Interactome for Prioritizing Key Comorbid Genes via Sub Graph Based Average Path Length Centrality. 742-751 - Manisha Saini, Seba Susan:
VGGIN-Net: Deep Transfer Network for Imbalanced Breast Cancer Dataset. 752-762 - Qiaoliang Liu, Fu Liu, Yan Miao, Jiaxue He, Tian Dong, Tao Hou, Yun Liu:
Virsearcher: Identifying Bacteriophages from Metagenomes by Combining Convolutional Neural Network and Gene Information. 763-774 - Hajin Jeon, Jeongmin Bae, Hyerin Kim, Min-Soo Kim:
VPrimer: A Method of Designing and Updating Primer and Probe With High Variant Coverage for RNA Virus Detection. 775-784 - Yixiong Liang, Zhihua Yin, Haotian Liu, Hailong Zeng, Jianxin Wang, Jianfeng Liu, Nanying Che:
Weakly Supervised Deep Nuclei Segmentation With Sparsely Annotated Bounding Boxes for DNA Image Cytometry. 785-795 - Turki M. Sobahy, Olaa A. Motwalli, Meshari Alazmi:
AllelePred: A Simple Allele Frequencies Ensemble Predictor for Different Single Nucleotide Variants. 796-801 - Hemanth Kari, Surya Manikhanta Sowri Bandi, Aditya Kumar, Venkata Rajesh Yella:
DeePromClass: Delineator for Eukaryotic Core Promoters Employing Deep Neural Networks. 802-807
Volume 20, Number 2, March - April 2023
- Isabel González-Crespo, Antonio Gómez-Caamaño, Óscar López Pouso, John D. Fenwick, Juan Pardo-Montero:
A Biomathematical Model of Tumor Response to Radioimmunotherapy With αPDL1 and αCTLA4. 808-821 - Xiong Li, Yangkai Lin, Chengwang Xie, Zejun Li, Min Chen, Peng Wang, Juan Zhou:
A Clustering Method Unifying Cell-Type Recognition and Subtype Identification for Tumor Heterogeneity Analysis. 822-832 - Min Li, Wenbo Shi, Fuhao Zhang, Min Zeng, Yaohang Li:
A Deep Learning Framework for Predicting Protein Functions With Co-Occurrence of GO Terms. 833-842 - Xiaoqing Peng, Wenjin Zhang, Wanxin Cui, Binrong Ding, Qingtong Lyu, Jianxin Wang:
ADmeth: A Manually Curated Database for the Differential Methylation in Alzheimer's Disease. 843-851 - Qichang Zhao, Guihua Duan, Mengyun Yang, Zhongjian Cheng, Yaohang Li, Jianxin Wang:
AttentionDTA: Drug-Target Binding Affinity Prediction by Sequence-Based Deep Learning With Attention Mechanism. 852-863 - Jiasheng Si, Liu Sun, Deyu Zhou, Jie Ren, Lin Li:
Biomedical Argument Mining Based on Sequential Multi-Task Learning. 864-874 - Mahdieh Ghasemi, Maseud Rahgozar, Kaveh Kavousi:
Complex Disease Genes Identification Using a Heterogeneous Network Embedding Approach. 875-882 - Dong Jun Jee, Yixin Kong, Hyonho Chun:
Deep Nonnegative Matrix Factorization Using a Variational Autoencoder With Application to Single-Cell RNA Sequencing Data. 883-893 - Volkan Altuntas:
Diffusion Alignment Coefficient (DAC): A Novel Similarity Metric for Protein-Protein Interaction Network. 894-903 - Mobeen Ur Rehman, Hilal Tayara, Kil To Chong:
DL-m6A: Identification of N6-Methyladenosine Sites in Mammals Using Deep Learning Based on Different Encoding Schemes. 904-911 - Zhong-Ze Yu, Chunxiang Peng, Jun Liu, Biao Zhang, Xiao-Gen Zhou, Gui-Jun Zhang:
DomBpred: Protein Domain Boundary Prediction Based on Domain-Residue Clustering Using Inter-Residue Distance. 912-922 - Xin Huang, Benzhe Su, Chenbo Zhu, Xinyu He, Xiaohui Lin:
Dynamic Network Construction for Identifying Early Warning Signals Based On a Data-Driven Approach: Early Diagnosis Biomarker Discovery for Gastric Cancer. 923-931 - Xuan Lin, Zhe Quan, Zhi-Jie Wang, Yan Guo, Xiangxiang Zeng, Philip S. Yu:
Effectively Identifying Compound-Protein Interaction Using Graph Neural Representation. 932-943 - Yongxian Fan, Guicong Sun, Xiaoyong Pan:
ELMo4m6A: A Contextual Language Embedding-Based Predictor for Detecting RNA N6-Methyladenosine Sites. 944-954 - Shamima Rashid, Suresh Sundaram, Chee Keong Kwoh:
Empirical Study of Protein Feature Representation on Deep Belief Networks Trained With Small Data for Secondary Structure Prediction. 955-966 - Chao Wang, Quan Zou, Ying Ju, Hua Shi:
Enhancer-FRL: Improved and Robust Identification of Enhancers and Their Activities Using Feature Representation Learning. 967-975 - Shichao Liu, Yang Zhang, Yuxin Cui, Yang Qiu, Yifan Deng, Zhongfei Zhang, Wen Zhang:
Enhancing Drug-Drug Interaction Prediction Using Deep Attention Neural Networks. 976-985 - Yang Shen, Jinlin Zhu, Zhaohong Deng, Wenwei Lu, Hongchao Wang:
EnsDeepDP: An Ensemble Deep Learning Approach for Disease Prediction Through Metagenomics. 986-998 - Leandro E. Di Persia, Tiago Lopez, Agustin Arce, Diego H. Milone, Georgina Stegmayer:
exp2GO: Improving Prediction of Functions in the Gene Ontology With Expression Data. 999-1008 - Filippo Castiglione, Christine Nardini, Elia Onofri, Marco Pedicini, Paolo Tieri:
Explainable Drug Repurposing Approach From Biased Random Walks. 1009-1019 - Tri Minh Nguyen, Thomas P. Quinn, Thin Nguyen, Truyen Tran:
Explaining Black Box Drug Target Prediction Through Model Agnostic Counterfactual Samples. 1020-1029 - Chunyan Tang, Cheng Zhong, Mian Wang, Fengfeng Zhou:
FMGNN: A Method to Predict Compound-Protein Interaction With Pharmacophore Features and Physicochemical Properties of Amino Acids. 1030-1040 - Jiwen Liu, Zhufang Kuang, Lei Deng:
GCNPCA: miRNA-Disease Associations Prediction Algorithm Based on Graph Convolutional Neural Networks. 1041-1052 - Zhen Tian, Haichuan Fang, Zhixia Teng, Yangdong Ye:
GOGCN: Graph Convolutional Network on Gene Ontology for Functional Similarity Analysis of Genes. 1053-1064 - Thang Chu, Thuy Trang Nguyen, Bui Duong Hai, Quang Huy Nguyen, Tuan Nguyen:
Graph Transformer for Drug Response Prediction. 1065-1072 - Bryan Herrera-Romero, Diego Almeida-Galárraga, Graciela M. Salum, Fernando Villalba-Meneses, Marco Esteban Gudiño-Gomezjurado:
GUSignal: An Informatics Tool to Analyze Glucuronidase Gene Expression in Arabidopsis Thaliana Roots. 1073-1080 - Junwei Sun, Haoping Ji, Yingcong Wang, Yanfeng Wang:
Hybrid Projective Synchronization via PI Controller Based on DNA Strand Displacement. 1081-1091 - Vicky Zheng, Ahmet Erdem Sariyüce, Jaroslaw Zola:
Identifying Taxonomic Units in Metagenomic DNA Streams on Mobile Devices. 1092-1103 - Yasin Görmez, Zafer Aydin:
IGPRED-MultiTask: A Deep Learning Model to Predict Protein Secondary Structure, Torsion Angles and Solvent Accessibility. 1104-1113 - Yongping Du, Jingya Yan, Yuxuan Lu, Yiliang Zhao, Xingnan Jin:
Improving Biomedical Question Answering by Data Augmentation and Model Weighting. 1114-1124 - S. Sujamol, Vimina E. R., Krishnakumar U.:
Improving miRNA Disease Association Prediction Accuracy Using Integrated Similarity Information and Deep Autoencoders. 1125-1136 - Xueli Song, Rongpeng Li, Kaiming Wang, Yuntong Bai, Yuzhu Xiao, Yu-Ping Wang:
Joint Sparse Collaborative Regression on Imaging Genetics Study of Schizophrenia. 1137-1146 - Changzhi Jiang, Minli Tang, Shuting Jin, Wei Huang, Xiangrong Liu:
KGNMDA: A Knowledge Graph Neural Network Method for Predicting Microbe-Disease Associations. 1147-1155 - Xianyu Zhu, Jinjiang Li, Runchang Jia, Bin Liu, Zhuohan Yao, Aihong Yuan, Yingqiu Huo, Haixi Zhang:
LAD-Net: A Novel Light Weight Model for Early Apple Leaf Pests and Diseases Classification. 1156-1169 - Xiaoke Ma, Wei Zhao, Wenming Wu:
Layer-Specific Modules Detection in Cancer Multi-Layer Networks. 1170-1179 - Zhengsen Pan, Shusen Zhou, Hailin Zou, Chanjuan Liu, Mujun Zang, Tong Liu, Qingjun Wang:
MCNN: Multiple Convolutional Neural Networks for RNA-Protein Binding Sites Prediction. 1180-1187 - Ashish Ranjan, Md. S. Fahad, David Fernández-Baca, Sudhakar Tripathi, Akshay Deepak:
MCWS-Transformers: Towards an Efficient Modeling of Protein Sequences via Multi Context-Window Based Scaled Self-Attention. 1188-1199 - Xixi Yang, Zhangming Niu, Yuansheng Liu, Bosheng Song, Weiqiang Lu, Li Zeng, Xiangxiang Zeng:
Modality-DTA: Multimodality Fusion Strategy for Drug-Target Affinity Prediction. 1200-1210 - Pietro Bongini, Franco Scarselli, Monica Bianchini, Giovanna Maria Dimitri, Niccolò Pancino, Pietro Lió:
Modular Multi-Source Prediction of Drug Side-Effects With DruGNN. 1211-1220 - Raeed Al-Sabri, Jianliang Gao, Jiamin Chen, Babatounde Moctard Oloulade, Tengfei Lyu:
Multi-View Graph Neural Architecture Search for Biomedical Entity and Relation Extraction. 1221-1233 - Yuqing Qian, Yijie Ding, Quan Zou, Fei Guo:
Multi-View Kernel Sparse Representation for Identification of Membrane Protein Types. 1234-1245 - Shixuan Guan, Yuqing Qian, Tengsheng Jiang, Min Jiang, Yijie Ding, Hongjie Wu:
MV-H-RKM: A Multiple View-Based Hypergraph Regularized Restricted Kernel Machine for Predicting DNA-Binding Proteins. 1246-1256 - Jihwan Ha, Sanghyun Park:
NCMD: Node2vec-Based Neural Collaborative Filtering for Predicting MiRNA-Disease Association. 1257-1268 - Yuhao Feng, Lei Qi, Weidong Tian:
PhenoBERT: A Combined Deep Learning Method for Automated Recognition of Human Phenotype Ontology. 1269-1277 - Kangchen Liu, Xiujun Zhang:
PiTLiD: Identification of Plant Disease From Leaf Images Based on Convolutional Neural Network. 1278-1288 - Vincent Moulton, Taoyang Wu:
Planar Rooted Phylogenetic Networks. 1289-1297 - Huan Zhao, Zhengwei Li, Zhu-Hong You, Ru Nie, Tangbo Zhong:
Predicting Mirna-Disease Associations Based on Neighbor Selection Graph Attention Networks. 1298-1307 - Huizhe Zhang, Juntao Fang, Yuping Sun, Guobo Xie, Zhiyi Lin, Guosheng Gu:
Predicting miRNA-Disease Associations via Node-Level Attention Graph Auto-Encoder. 1308-1318 - Zhihua Du, Tianyou Huang, Vladimir N. Uversky, Jianqiang Li:
Predicting TF Proteins by Incorporating Evolution Information Through PSSM. 1319-1326 - Amandeep Kaur, Ajay Pal Singh Chauhan, Ashwani Kumar Aggarwal:
Prediction of Enhancers in DNA Sequence Data using a Hybrid CNN-DLSTM Model. 1327-1336 - Ke Yan, Hongwu Lv, Jie Wen, Yichen Guo, Yong Xu, Bin Liu:
PreTP-Stack: Prediction of Therapeutic Peptides Based on the Stacked Ensemble Learing. 1337-1344 - Alexander V. Spirov, Ekaterina M. Myasnikova:
Problem of Domain/Building Block Preservation in the Evolution of Biological Macromolecules and Evolutionary Computation. 1345-1362 - Muhammad Arsalan, Tariq Mahmood Khan, Syed Saud Naqvi, Mehmood Nawaz, Imran Razzak:
Prompt Deep Light-Weight Vessel Segmentation Network (PLVS-Net). 1363-1371 - Nikhilanand Arya, Archana Mathur, Snehanshu Saha, Sriparna Saha:
Proposal of SVM Utility Kernel for Breast Cancer Survival Estimation. 1372-1383 - Hangjin Jiang, Han Li, Wing Hung Wong, Xiaodan Fan:
Revealing Free Energy Landscape From MD Data via Conditional Angle Partition Tree. 1384-1394 - Amir Hossein Abolmasoumi, Mohammad Mohammadian, Lamine Mili:
Robust KALMAN Filter State Estimation for Gene Regulatory Networks. 1395-1405 - Jian Zhang, Feng Zhou, Xingchen Liang, Guifu Yang:
SCAMPER: Accurate Type-Specific Prediction of Calcium-Binding Residues Using Sequence-Derived Features. 1406-1416 - Eleanor Wedell, Yirong Cai, Tandy J. Warnow:
SCAMPP: Scaling Alignment-Based Phylogenetic Placement to Large Trees. 1417-1430 - Xiaoqing Cheng, Chang Yan, Hao Jiang, Yushan Qiu:
scHOIS: Determining Cell Heterogeneity Through Hierarchical Clustering Based on Optimal Imputation Strategy. 1431-1444 - Bo Li, Ke Jin, Le Ou-Yang, Hong Yan, Xiao-Fei Zhang:
scTSSR2: Imputing Dropout Events for Single-Cell RNA Sequencing Using Fast Two-Side Self-Representation. 1445-1456 - Yatong Jiang, Tao Shang, Jianwei Liu:
Secure Counting Query Protocol for Genomic Data. 1457-1468 - Xinyi Wang, Mingyang Zhang, Chunlin Long, Lin Yao, Min Zhu:
Self-Attention Based Neural Network for Predicting RNA-Protein Binding Sites. 1469-1479 - Ping Xuan, Yue Zhao, Hui Cui, Linyun Zhan, Qiangguo Jin, Tiangang Zhang, Toshiya Nakaguchi:
Semantic Meta-Path Enhanced Global and Local Topology Learning for lncRNA-Disease Association Prediction. 1480-1491 - Xishuang Dong, Shanta Chowdhury, Uboho Victor, Xiangfang Li, Lijun Qian:
Semi-Supervised Deep Learning for Cell Type Identification From Single-Cell Transcriptomic Data. 1492-1505 - Xinxing Yang, Genke Yang, Jian Chu:
The Computational Drug Repositioning Without Negative Sampling. 1506-1517 - Yunqi Wan, Zhenran Jiang:
TransCrispr: Transformer Based Hybrid Model for Predicting CRISPR/Cas9 Single Guide RNA Cleavage Efficiency. 1518-1528 - Shankey Garg, Pradeep Singh:
Transfer Learning Based Lightweight Ensemble Model for Imbalanced Breast Cancer Classification. 1529-1539 - Takeyuki Tamura:
Trimming Gene Deletion Strategies for Growth-Coupled Production in Constraint-Based Metabolic Networks: TrimGdel. 1540-1549 - Borja Freire, Susana Ladra, José R. Paramá, Leena Salmela:
ViQUF: De Novo Viral Quasispecies Reconstruction Using Unitig-Based Flow Networks. 1550-1562 - Xuekun Song, Ke Liang, Juntao Li:
WGRLR: A Weighted Group Regularized Logistic Regression for Cancer Diagnosis and Gene Selection. 1563-1573 - Aimin Li, Siqi Xiong, Junhuai Li, Saurav Mallik, Yajun Liu, Rong Fei, Hongfang Zhou, Guangming Liu:
AngClust: Angle Feature-Based Clustering for Short Time Series Gene Expression Profiles. 1574-1580 - Donglin Wang, Don Hong, Qiang Wu:
Attention Deficit Hyperactivity Disorder Classification Based on Deep Learning. 1581-1586 - Junqiao Qiu, Ali Ebnenasir:
Exploring Scalable Parallelization for Edit Distance-Based Motif Search. 1587-1593 - Lijun Quan, Xiaomin Chu, Xiaoyu Sun, Tingfang Wu, Qiang Lyu:
How Deepbics Quantifies Intensities of Transcription Factor-DNA Binding and Facilitates Prediction of Single Nucleotide Variant Pathogenicity With a Deep Learning Model Trained On ChIP-Seq Data Sets. 1594-1599 - Aditi Jain, Arvind Kumar Gupta:
Modeling mRNA Translation With Ribosome Abortions. 1600-1605 - Xiaojuan Wang, Wen Yang, Yue Yang, Yizhou He, Jun Zhang, Lusheng Wang, Lun Hu:
PPISB: A Novel Network-Based Algorithm of Predicting Protein-Protein Interactions With Mixed Membership Stochastic Blockmodel. 1606-1612 - Elizabeth S. Allman, Hector Baños, John A. Rhodes:
Testing Multispecies Coalescent Simulators Using Summary Statistics. 1613-1618
Volume 20, Number 3, May - June 2023
- Carlos Martín-Vide, Miguel A. Vega-Rodríguez:
Algorithms for Computational Biology: Eighth Edition. 1626-1627 - Alexsandro Oliveira Alexandrino, Klairton Lima Brito, Andre Rodrigues Oliveira, Ulisses Dias, Zanoni Dias:
Reversal and Indel Distance With Intergenic Region Information. 1628-1640 - Klairton Lima Brito, Alexsandro Oliveira Alexandrino, Andre Rodrigues Oliveira, Ulisses Dias, Zanoni Dias:
Genome Rearrangement Distance With a Flexible Intergenic Regions Aspect. 1641-1653 - Kaari Landry, Aivee Teodocio, Manuel Lafond, Olivier Tremblay-Savard:
Defining Phylogenetic Network Distances Using Cherry Operations. 1654-1666 - Chenqi Mou, Wenwen Ju:
Sparse Triangular Decomposition for Computing Equilibria of Biological Dynamic Systems Based on Chordal Graphs. 1667-1678 - David Schaller, Manuela Geiß, Marc Hellmuth, Peter F. Stadler:
Best Match Graphs With Binary Trees. 1679-1690 - Yin Yao, Martin C. Frith:
Improved DNA-Versus-Protein Homology Search for Protein Fossils. 1691-1699 - Paul Zaharias, Vladimir Smirnov, Tandy J. Warnow:
Large-Scale Multiple Sequence Alignment and the Maximum Weight Trace Alignment Merging Problem. 1700-1712 - Kaitao Wu, Lexiang Wang, Bo Liu, Yang Liu, Yadong Wang, Junyi Li:
PSPGO: Cross-Species Heterogeneous Network Propagation for Protein Function Prediction. 1713-1724 - Alejandro F. Villaverde, Elba Raimúndez-Álvarez, Jan Hasenauer, Julio R. Banga:
Assessment of Prediction Uncertainty Quantification Methods in Systems Biology. 1725-1736 - Jinmiao Song, Shengwei Tian, Long Yu, Qimeng Yang, Yuanxu Wang, Qiguo Dai, Xiaodong Duan:
ISLMI: Predicting lncRNA-miRNA Interactions Based on Information Injection and Second-Order Graph Convolution Network. 1737-1745 - Yan Kang, Haining Wang, Bin Pu, Liu Tao, Jianguo Chen, Philip S. Yu:
A Hybrid Two-Stage Teaching-Learning-Based Optimization Algorithm for Feature Selection in Bioinformatics. 1746-1760 - Pranab Das, Yogita Thakran, S. R. Ngamwal Anal, Vipin Pal, Anju Yadav:
BRMCF: Binary Relevance and MLSMOTE Based Computational Framework to Predict Drug Functions From Chemical and Biological Properties of Drugs. 1761-1773 - Wen-Yu Xi, Feng Zhou, Ying-Lian Gao, Jin-Xing Liu, Chun-Hou Zheng:
LDCMFC: Predicting Long Non-Coding RNA and Disease Association Using Collaborative Matrix Factorization Based on Correntropy. 1774-1782 - Ramkishore Bhattacharyya:
Bidirectional Association Discovery Leads to Precise Identification of Lung Cancer Biomarkers and Genome Taxa Class. 1783-1794 - Vianney Kengne Tchendji, Franklin Ingrid Kamga Youmbi, Clémentin Tayou Djamégni, Jerry Lacmou Zeutouo:
A Parallel Tiled and Sparsified Four-Russians Algorithm for Nussinov's RNA Folding. 1795-1806 - Jie Xu, Guanxue Yang, Guohai Liu, Hui Liu:
Inferring Gene Regulatory Networks via Ensemble Path Consistency Algorithm Based on Conditional Mutual Information. 1807-1816 - Pradeep Kumar Das, Biswajeet Sahoo, Sukadev Meher:
An Efficient Detection and Classification of Acute Leukemia Using Transfer Learning and Orthogonal Softmax Layer-Based Model. 1817-1828 - Marcelo Rodrigues de Holanda Maia, Alexandre Plastino, Alex Alves Freitas, João Pedro de Magalhães:
Interpretable Ensembles of Classifiers for Uncertain Data With Bioinformatics Applications. 1829-1841 - Shutao Chen, Lin Zhang, Xiangzhi Chen, Hui Liu:
FGFICA: Independent Component Analysis of Fusion Genomic Features for Mining Epi-Transcriptome Profiling Data. 1842-1853 - Hui Yu, KangKang Li, Jianyu Shi:
DGANDDI: Double Generative Adversarial Networks for Drug-Drug Interaction Prediction. 1854-1863 - Jun Bai, Chuantao Yin, Zimeng Wu, Jianfei Zhang, Yanmeng Wang, Guanyi Jia, Wenge Rong, Zhang Xiong:
Improving Biomedical ReQA With Consistent NLI-Transfer and Post-Whitening. 1864-1875 - Xiangbin Lin, Weizhuang Kong, Jianxiu Li, Xuexiao Shao, Changting Jiang, Ruilan Yu, Xiaowei Li, Bin Hu:
Aberrant Static and Dynamic Functional Brain Network in Depression Based on EEG Source Localization. 1876-1889 - Prasun Chandra Tripathi, Soumen Bag:
An Attention-Guided CNN Framework for Segmentation and Grading of Glioma Using 3D MRI Scans. 1890-1904 - Shuhui Liu, Yupei Zhang, Xuequn Shang:
GLassonet: Identifying Discriminative Gene Sets Among Molecular Subtypes of Breast Cancer. 1905-1916 - Hegang Chen, Yuyin Lu, Yuedong Yang, Yanghui Rao:
A Drug Combination Prediction Framework Based on Graph Convolutional Network and Heterogeneous Information. 1917-1925 - Shengli Zhang, Yuanyuan Jing:
PreVFs-RG: A Deep Hybrid Model for Identifying Virulence Factors Based on Residual Block and Gated Recurrent Unit. 1926-1934 - Minghua Zhao, Min Yuan, Yaning Yang, Steven X. Xu:
CPGL: Prediction of Compound-Protein Interaction by Integrating Graph Attention Network With Long Short-Term Memory Neural Network. 1935-1942 - Qichang Zhao, Guihua Duan, Haochen Zhao, Kai Zheng, Yaohang Li, Jianxin Wang:
GIFDTI: Prediction of Drug-Target Interactions Based on Global Molecular and Intermolecular Interaction Representation Learning. 1943-1952 - Qi Dang, Yong Liang, Dong Ouyang, Rui Miao, Caijin Ling, Xiaoying Liu, Shengli Xie:
Improved Computational Drug-Repositioning by Self-Paced Non-Negative Matrix Tri-Factorization. 1953-1962 - Haoyuan Shi, Haisong Feng, Zhenxiao Lu, Wei Xue, Congshan Yang, Zhenyu Yue:
GRA-GCN: Dense Granule Protein Prediction in Apicomplexa Protozoa Through Graph Convolutional Network. 1963-1970 - Carlos Sequeiros, Irene Otero-Muras, Carlos Vázquez, Julio R. Banga:
Global Optimization Approach for Parameter Estimation in Stochastic Dynamic Models of Biosystems. 1971-1982 - Arnab Kumar Mondal, Indu Joshi, Pravendra Singh, Prathosh AP:
Clustering Single-Cell RNA Sequence Data Using Information Maximized and Noise-Invariant Representations. 1983-1994 - Aranka Steyaert, Pieter Audenaert, Jan Fostier:
Improved Node and Arc Multiplicity Estimation in De Bruijn Graphs Using Approximate Inference in Conditional Random Fields. 1995-2006 - Xiaolin Wang, Hongli Gao, Ren Qi, Ruiqing Zheng, Xin Gao, Bin Yu:
scBKAP: A Clustering Model for Single-Cell RNA-Seq Data Based on Bisecting K-Means. 2007-2015 - Liangliang Tian, Haixi Zhang, Bin Liu, Jiaqi Zhang, Nannan Duan, Aihong Yuan, Yingqiu Huo:
VMF-SSD: A Novel V-Space Based Multi-Scale Feature Fusion SSD for Apple Leaf Disease Detection. 2016-2028 - Shima Shafiee, Abdolhossein Fathi, Ghazaleh Taherzadeh:
SPPPred: Sequence-Based Protein-Peptide Binding Residue Prediction Using Genetic Programming and Ensemble Learning. 2029-2040 - Alejandro Fernández-Fraga, Jorge González-Domínguez, Juan Touriño:
ParRADMeth: Identification of Differentially Methylated Regions on Multicore Clusters. 2041-2049 - Xiaowei Gao, Yan Wang, Weimin Hou, Zaiyi Liu, Xiaoke Ma:
Multi-View Clustering for Integration of Gene Expression and Methylation Data With Tensor Decomposition and Self-Representation Learning. 2050-2063 - Erhun Giray Tuncay, Riza Cenk Erdur, Tim Conrad:
Parallel Exchange of Randomized SubGraphs for Optimization of Network Alignment: PERSONA. 2064-2077 - Tanzila Islam, Chyon Hae Kim, Hiroyoshi Iwata, Hiroyuki Shimono, Akio Kimura:
DeepCGP: A Deep Learning Method to Compress Genome-Wide Polymorphisms for Predicting Phenotype of Rice. 2078-2088 - Yelu Jiang, Lijun Quan, Kailong Li, Yan Li, Yiting Zhou, Tingfang Wu, Qiang Lyu:
DGCddG: Deep Graph Convolution for Predicting Protein-Protein Binding Affinity Changes Upon Mutations. 2089-2100 - Peng Chen, Jian Wang, Hongfei Lin, Yijia Zhang, Zhihao Yang:
Knowledge Adaptive Multi-Way Matching Network for Biomedical Named Entity Recognition via Machine Reading Comprehension. 2101-2111 - Asmita Tripathi, Rajkrishna Mondal, Tapobrata Lahiri, Deepak Chaurasiya, Manoj Kumar Pal:
TemPred: A Novel Protein Template Search Engine to Improve Protein Structure Prediction. 2112-2121 - Md. Inzamam-Ul-Hossain, Md. Rafiqul Islam:
Identification of Essential Protein Using Chemical Reaction Optimization and Machine Learning Technique. 2122-2135 - Yulian Ding, Xiujuan Lei, Bo Liao, Fang-Xiang Wu:
Biomarker Identification via a Factorization Machine-Based Neural Network With Binary Pairwise Encoding. 2136-2146 - Yixin Wang, Md. Noor-A-Rahim, Erry Gunawan, Yong Liang Guan, Chueh-Loo Poh:
Modelling, Characterization of Data-Dependent and Process-Dependent Errors in DNA Data Storage. 2147-2158 - Yiran Huang, Yongjin Bin, Pingfan Zeng, Wei Lan, Cheng Zhong:
NetPro: Neighborhood Interaction-Based Drug Repositioning via Label Propagation. 2159-2169 - Leyla Nazari, Zahra Zinati:
Gene Expression Classification for Biomarker Identification in Maize Subjected to Various Biotic Stresses. 2170-2176 - Necla Nisa Soylu, Emre Sefer:
BERT2OME: Prediction of 2′-O-Methylation Modifications From RNA Sequence by Transformer Architecture Based on BERT. 2177-2189 - Changkun Jiang, Weipeng Lv, Jianqiang Li:
Protein-Protein Interaction Sites Prediction Using Batch Normalization Based CNNs and Oversampling Method Borderline-SMOTE. 2190-2199 - Chang Sun, Rong Tang, Jipeng Huang, Jin-Mao Wei, Jian Liu:
A Deep Neural Network-Based Co-Coding Method to Predict Drug-Protein Interactions by Analyzing the Feature Consistency Between Drugs and Proteins. 2200-2209 - Aman Sinha, Bo-Cheng Lai, Jhih-Yong Mai:
A Bin-Based Indexing for Scalable Range Join on Genomic Data. 2210-2222 - Wei Wang, Bin Sun, MengXue Yu, ShiYu Wu, Dong Liu, Hongjun Zhang, Yun Zhou:
GraphPLBR: Protein-Ligand Binding Residue Prediction With Deep Graph Convolution Network. 2223-2232 - Linlin Du, Rui Han, Bo Liu, Yadong Wang, Junyi Li:
ScCCL: Single-Cell Data Clustering Based on Self-Supervised Contrastive Learning. 2233-2241 - Vikash Kumar, Akshay Deepak, Ashish Ranjan, Aravind Prakash:
Lite-SeqCNN: A Light-Weight Deep CNN Architecture for Protein Function Prediction. 2242-2253 - Yezi He, Xiangtao Chen, Nguyen Hoang Tu, Jiawei Luo:
Deep Multi-Constraint Soft Clustering Analysis for Single-Cell RNA-Seq Data via Zero-Inflated Autoencoder Embedding. 2254-2265 - Fan Rao, Minghan Chen, Defu Yang, Bess Morrell, Qianqian Song, Wentao Zhu:
scENT for Revealing Gene Clusters From Single-Cell RNA-Seq Data. 2266-2277 - Ekta Shah, Pradipta Maji:
Multi-View Kernel Learning for Identification of Disease Genes. 2278-2290 - Richa Dhanuka, Jyoti Prakash Singh, Anushree Tripathi:
A Comprehensive Survey of Deep Learning Techniques in Protein Function Prediction. 2291-2301 - Ricardo Wandré Dias Pedro, Ana Luiza Silveira Ferreira, Rodolph Vinicius Siqueira Pessoa, Almir Galvão Vieira Bitencourt, Ariane Machado-Lima, Fátima L. S. Nunes:
A Stochastic Grammar Approach to Mass Classification in Mammograms. 2302-2313 - Adam Witmer, Rajkumar Theagarajan, Bir Bhanu:
Triplet-Net Classification of Contiguous Stem Cell Microscopy Images. 2314-2327 - Zhiming Zhang, Shangce Gao, Zhenyu Lei, Runqun Xiong, Jiujun Cheng:
Pareto Dominance Archive and Coordinated Selection Strategy-Based Many-Objective Optimizer for Protein Structure Prediction. 2328-2340 - Hao Zhang, Honglei Song, Xiaoming Xu, Qixin Chang, Mingkai Wang, Yanjie Wei, Zekun Yin, Bertil Schmidt, Weiguo Liu:
RabbitFX: Efficient Framework for FASTA/Q File Parsing on Modern Multi-Core Platforms. 2341-2348 - Momoko Hayamizu, Kazuhisa Makino:
Ranking Top-$k$ Trees in Tree-Based Phylogenetic Networks. 2349-2355 - Anushka Mitra, Shibambika Manna, Raima Kundu, Ditipriya Hazra, Amlan Roychowdhury:
Brute Force Virtual Drug Screening with Molecular Dynamics Simulation and MM/PBSA to Find Potent Inhibitors of METTL16. 2356-2361
Volume 20, Number 4, July - August 2023
- Honghao Gao, Zijian Zhang, Ramón J. Durán Barroso:
Guest Editorial Special Issue on Multi-Modal Biomedical Computing-Deep Transfer Learning. 2363-2366 - Wei Wang, Xinhua Yu, Bo Fang, Yue Zhao, Yongyong Chen, Wei Wei, Junxin Chen:
Cross-Modality LGE-CMR Segmentation Using Image-to-Image Translation Based Data Augmentation. 2367-2375 - Zhichen Ni, Honglong Chen, Zhe Li, Xiaomeng Wang, Na Yan, Weifeng Liu, Feng Xia:
MSCET: A Multi-Scenario Offloading Schedule for Biomedical Data Processing and Analysis in Cloud-Edge-Terminal Collaborative Vehicular Networks. 2376-2386 - Yuanpeng Zhang, Kaijian Xia, Yizhang Jiang, Pengjiang Qian, Weiwei Cai, Chengyu Qiu, Khin Wee Lai, Dongrui Wu:
Multi-Modality Fusion & Inductive Knowledge Transfer Underlying Non-Sparse Multi-Kernel Learning and Distribution Adaption. 2387-2397 - Nan Chen, Man Guo, Yongchao Li, Xiping Hu, Zhijun Yao, Bin Hu:
Estimation of Discriminative Multimodal Brain Network Connectivity Using Message-Passing-Based Nonlinear Network Fusion. 2398-2406 - Jinxia Wang, Liang Qiao, Haibin Lv, Zhihan Lv:
Deep Transfer Learning-Based Multi-Modal Digital Twins for Enhancement and Diagnostic Analysis of Brain MRI Image. 2407-2419 - Fayaz Ali Dharejo, Muhammad Zawish, Farah Deeba, Yuanchun Zhou, Kapal Dev, Sunder Ali Khowaja, Nawab Muhammad Faseeh Qureshi:
Multimodal-Boost: Multimodal Medical Image Super-Resolution Using Multi-Attention Network With Wavelet Transform. 2420-2433 - Yuexin Bian, Jintai Chen, Xiaojun Chen, Xiaoxian Yang, Danny Z. Chen, Jian Wu:
Identifying Electrocardiogram Abnormalities Using a Handcrafted-Rule-Enhanced Neural Network. 2434-2444 - Imran Ahmed, Abdellah Chehri, Gwanggil Jeon, Francesco Piccialli:
Automated Pulmonary Nodule Classification and Detection Using Deep Learning Architectures. 2445-2456 - Qi-Qi Chen, Zhao-Hui Sun, Chuan-Feng Wei, Edmond Qi Wu, Dong Ming:
Semi-Supervised 3D Medical Image Segmentation Based on Dual-Task Consistent Joint Learning and Task-Level Regularization. 2457-2467 - Mainak Adhikari, Abhishek Hazra, Sudarshan Nandy:
Deep Transfer Learning for Communicable Disease Detection and Recommendation in Edge Networks. 2468-2479 - Xiaolong Xu, Haoyan Xu, Liying Wang, Yuanyuan Zhang, Fu Xiao:
Hygeia: A Multilabel Deep Learning-Based Classification Method for Imbalanced Electrocardiogram Data. 2480-2493 - Yuxin Ma, Shuo Wang, Yang Hua, Ruhui Ma, Tao Song, Zhengui Xue, Heng Cao, Haibing Guan:
Perceptual Data Augmentation for Biomedical Coronary Vessel Segmentation. 2494-2505 - Jianyuan Li, Xiong Luo, Huimin Ma, Wenbing Zhao:
A Hybrid Deep Transfer Learning Model With Kernel Metric for COVID-19 Pneumonia Classification Using Chest CT Images. 2506-2517 - Ilias Siniosoglou, Vasileios Argyriou, Panagiotis G. Sarigiannidis, Thomas Lagkas, Antonios Sarigiannidis, Sotirios K. Goudos, Shaohua Wan:
Post-Processing Fairness Evaluation of Federated Models: An Unsupervised Approach in Healthcare. 2518-2529 - Wentian Cai, Linsen Xie, Weixian Yang, Yijiang Li, Ying Gao, Tingting Wang:
DFTNet: Dual-Path Feature Transfer Network for Weakly Supervised Medical Image Segmentation. 2530-2540 - Qingbin Wang, Kaiyi Chen, Wanrong Dou, Yutao Ma:
Cross-Attention Based Multi-Resolution Feature Fusion Model for Self-Supervised Cervical OCT Image Classification. 2541-2554 - Ke Yan, Xinlu Guo, Zhiwei Ji, Xiaokang Zhou:
Deep Transfer Learning for Cross-Species Plant Disease Diagnosis Adapting Mixed Subdomains. 2555-2564 - Yi Ding, Xue Qin, Mingfeng Zhang, Ji Geng, Dajiang Chen, Fuhu Deng, Chunhe Song:
RLSegNet: An Medical Image Segmentation Network Based on Reinforcement Learning. 2565-2576 - Tingting Liang, Congying Xia, Ziqiang Zhao, Yixuan Jiang, Yuyu Yin, Philip S. Yu:
Transferring From Textual Entailment to Biomedical Named Entity Recognition. 2577-2586 - Abdul Qayyum, Imran Razzak, M. Tanveer, Moona Mazher, Bandar Alhaqbani:
High-Density Electroencephalography and Speech Signal Based Deep Framework for Clinical Depression Diagnosis. 2587-2597 - Sheng Ren, Kehua Guo, Xiaokang Zhou, Bin Hu, Feihong Zhu, Entao Luo:
Medical Image Super-Resolution Based on Semantic Perception Transfer Learning. 2598-2609
Volume 20, Number 5, September - October 2023
- Mei-Neng Wang, Xue-Jun Xie, Zhu-Hong You, Leon Wong, Li-Ping Li, Zhan-Heng Chen:
Combining K Nearest Neighbor With Nonnegative Matrix Factorization for Predicting Circrna-Disease Associations. 2610-2618 - Shixuan Guan, Quan Zou, Hongjie Wu, Yijie Ding:
Protein-DNA Binding Residues Prediction Using a Deep Learning Model With Hierarchical Feature Extraction. 2619-2628 - Zheng-Wei Li, Qiankun Wang, Chang-An Yuan, Pengyong Han, Zhu-Hong You, Lei Wang:
Predicting MiRNA-Disease Associations by Graph Representation Learning Based on Jumping Knowledge Networks. 2629-2638 - Chenxi Huang, Wei Wang, Xin Zhang, Shui-Hua Wang, Yudong Zhang:
Tuberculosis Diagnosis Using Deep Transferred EfficientNet. 2639-2646 - Qing Ye, Xiaolong Zhang, Xiaoli Lin:
Drug-Target Interaction Prediction via Graph Auto-Encoder and Multi-Subspace Deep Neural Networks. 2647-2658 - Shanshan Wang, Ruoyou Wu, Cheng Li, Juan Zou, Ziyao Zhang, Qiegen Liu, Yan Xi, Hairong Zheng:
PARCEL: Physics-Based Unsupervised Contrastive Representation Learning for Multi-Coil MR Imaging. 2659-2670 - Seokwoo Lee, Wook Lee, Shulei Ren, Byungkyu Park, Kyungsook Han:
Constructing Integrative ceRNA Networks and Finding Prognostic Biomarkers in Renal Cell Carcinoma. 2671-2680 - Xinguo Lu, Guanyuan Chen, Jinxin Li, Xiangjin Hu, Fengxu Sun:
MAGCN: A Multiple Attention Graph Convolution Networks for Predicting Synthetic Lethality. 2681-2689 - Qinhu Zhang, Youhong Xu, Siguo Wang, Yong Wu, Yuan-Nong Ye, Chang-An Yuan, Valeriya V. Gribova, Vladimir Fedorovich Filaretov, De-Shuang Huang:
Using Fully Convolutional Network to Locate Transcription Factor Binding Sites Based on DNA Sequence and Conservation Information. 2690-2699 - Abbas Saad Alatrany, Wasiq Khan, Abir Jaafar Hussain, Jamila Mustafina, Dhiya Al-Jumeily:
Transfer Learning for Classification of Alzheimer's Disease Based on Genome Wide Data. 2700-2711 - Haochen Zhao, Guihua Duan, Peng Ni, Cheng Yan, Yaohang Li, Jianxin Wang:
RNPredATC: A Deep Residual Learning-Based Model With Applications to the Prediction of Drug-ATC Code Association. 2712-2723 - Wuli Xu, Lei Duan, Huiru Zheng, Jesse Li-Ling, Weipeng Jiang, Yidan Zhang, Tingting Wang, Ruiqi Qin:
An Integrative Disease Information Network Approach to Similar Disease Detection. 2724-2735 - Kevin Sutanto, Marcel Turcotte:
Assessing Global-Local Secondary Structure Fingerprints to Classify RNA Sequences With Deep Learning. 2736-2747 - Wei Peng, Ming Liu, Wei Dai, Tielin Chen, Yu Fu, Yi Pan:
Multi-View Feature Aggregation for Predicting Microbe-Disease Association. 2748-2758 - Ahmed Bin Zaman, Toki Tahmid Inan, Kenneth A. De Jong, Amarda Shehu:
Adaptive Stochastic Optimization to Improve Protein Conformation Sampling. 2759-2771 - Xiaoshuai Zhang, Lixin Wang, Hucheng Liu, Xiaofeng Zhang, Bo Liu, Yadong Wang, Junyi Li:
Prot2GO: Predicting GO Annotations From Protein Sequences and Interactions. 2772-2780 - Jiatao Chen, Liang Zhang, Ke Cheng, Bo Jin, Xinjiang Lu, Chao Che:
Predicting Drug-Target Interaction Via Self-Supervised Learning. 2781-2789 - Jing Sun, Li Pan, Bin Li, Haoyue Wang, Bo Yang, Wenbin Li:
A Construction Method of Dynamic Protein Interaction Networks by Using Relevant Features of Gene Expression Data. 2790-2801 - He-Ming Chu, Xiang-Zhen Kong, Jin-Xing Liu, Chun-Hou Zheng, Han Zhang:
A New Binary Biclustering Algorithm Based on Weight Adjacency Difference Matrix for Analyzing Gene Expression Data. 2802-2809 - Nan Sheng, Lan Huang, Ling Gao, Yangkun Cao, Xuping Xie, Yan Wang:
A Survey of Computational Methods and Databases for lncRNA-MiRNA Interaction Prediction. 2810-2826 - Ji Lv, Guixia Liu, Yuan Ju, Houhou Huang, Ying Sun:
AADB: A Manually Collected Database for Combinations of Antibiotics With Adjuvants. 2827-2836 - Yeganeh Madadi, Aboozar Monavarfeshani, Hao Chen, W. Daniel Stamer, Robert W. Williams, Siamak Yousefi:
Artificial Intelligence Models for Cell Type and Subtype Identification Based on Single-Cell RNA Sequencing Data in Vision Science. 2837-2852 - Zhen Gao, Jin Tang, Junfeng Xia, Chun-Hou Zheng, Pi-Jing Wei:
CNNGRN: A Convolutional Neural Network-Based Method for Gene Regulatory Network Inference From Bulk Time-Series Expression Data. 2853-2861 - Yu Cao, Wenya Pi, Chun-Yu Lin, Ulrike Münzner, Masahiro Ohtomo, Tatsuya Akutsu:
Common Attractors in Multiple Boolean Networks. 2862-2873 - Ze-Gang Wei, Xu Chen, Xiao-Dan Zhang, Hao Zhang, Xing-Guo Fan, Hongyan Gao, Fei Liu, Yu Qian:
Comparison of Methods for Biological Sequence Clustering. 2874-2888 - Nikolai Romashchenko, Benjamin Linard, Eric Rivals, Fabio Pardi:
Computing Phylo-$k$k-Mers. 2889-2897 - Nian-Nian Liu, Ze-Qun Zhang, Yanan Wu, Ying-Long Wang, Ying Liang:
CRBSP:Prediction of CircRNA-RBP Binding Sites Based on Multimodal Intermediate Fusion. 2898-2906 - Fan Zhang, Yawei Zhang, Xiaoke Zhu, Xiaopan Chen, Fuhao Lu, Xinhong Zhang:
DeepSG2PPI: A Protein-Protein Interaction Prediction Method Based on Deep Learning. 2907-2919 - Visweswaran Ravikumar, Tong Xu, Wajd N. Al-Holou, Salar Fattahi, Arvind Rao:
Efficient Inference of Spatially-Varying Gaussian Markov Random Fields With Applications in Gene Regulatory Networks. 2920-2932 - Bo Zhao, Jun Bai, Chen Li, Jianfei Zhang, Wenge Rong, Yuanxin Ouyang, Zhang Xiong:
Enhancing Biomedical ReQA With Adversarial Hard In-Batch Negative Samples. 2933-2944 - Wenhui Tu, Guang Ling, Feng Liu, Fuyan Hu, Xiangxiang Song:
GCSTI: A Single-Cell Pseudotemporal Trajectory Inference Method Based on Graph Compression. 2945-2958 - Suha Tuna, Cagri Gulec, Emrah Yucesan, Ayse Cirakoglu, Yelda Tarkan Arguden:
Gene Teams are on the Field: Evaluation of Variants in Gene-Networks Using High Dimensional Modelling. 2959-2969 - Masataka Ohashi, Shin-ichi Maeda, Chikara Sato:
Helical Three Dimensional Reconstruction Using Bayesian Optimization for Cryogenic Electron Microscopy. 2970-2980 - Satyaki Roy, Pratyay Dutta, Preetam Ghosh:
Hierarchical Vaccine Allocation Based on Epidemiological and Behavioral Considerations. 2981-2991 - Yanfen Zheng, Ben Cao, Jieqiong Wu, Bin Wang, Qiang Zhang:
High Net Information Density DNA Data Storage by the MOPE Encoding Algorithm. 2992-3000 - Jiefu Li, Aman Sawhney, Jung-Youn Lee, Li Liao:
Improving Inter-Helix Contact Prediction With Local 2D Topological Information. 3001-3012 - Wenxiang Zhang, Bin Liu:
iSnoDi-MDRF: Identifying snoRNA-Disease Associations Based on Multiple Biological Data by Ranking Framework. 3013-3019 - Jingfen Lan, Wenxiang Chen, Ganggang Yin, Haque A. K. Alvi, Kun Xie, Qiang Yu, Xiguo Yuan:
LDSSNV: A Linkage Disequilibrium-Based Method for the Detection of Somatic Single-Nucleotide Variants. 3020-3032 - Chengwei Ai, Hongpeng Yang, Yijie Ding, Jijun Tang, Fei Guo:
Low Rank Matrix Factorization Algorithm Based on Multi-Graph Regularization for Detecting Drug-Disease Association. 3033-3043 - Tianyu Wu, Yang Tang, Qiyu Sun, Luolin Xiong:
Molecular Joint Representation Learning via Multi-Modal Information of SMILES and Graphs. 3044-3055 - Qiaoming Liu, Dong Wang, Li Zhou, Jie Li, Guohua Wang:
MTGDC: A Multi-Scale Tensor Graph Diffusion Clustering for Single-Cell RNA Sequencing Data. 3056-3067 - Xinyu Zhu, Weiming Lu:
Multi-Label Classification With Dual Tail-Node Augmentation for Drug Repositioning. 3068-3079 - Zhihao Ma, Zhufang Kuang, Lei Deng:
NGCICM: A Novel Deep Learning-Based Method for Predicting circRNA-miRNA Interactions. 3080-3092 - Richard Bailey, Aisharjya Sarkar, Aaditya Singh, Alin Dobra, Tamer Kahveci:
Optimal Supervised Reduction of High Dimensional Transcription Data. 3093-3105 - Shouzhi Chen, Yanhong Liao, Jianping Zhao, Yannan Bin, Chun-Hou Zheng:
PACVP: Prediction of Anti-Coronavirus Peptides Using a Stacking Learning Strategy With Effective Feature Representation. 3106-3116 - Isaac Furtney, Ray M. Bradley, Mansur R. Kabuka:
Patient Graph Deep Learning to Predict Breast Cancer Molecular Subtype. 3117-3127 - Zihao Chen, Nan Liu, Yang Huang, Xiaoping Min, Xiangxiang Zeng, Shengxiang Ge, Jun Zhang, Ning-Shao Xia:
PointDE: Protein Docking Evaluation Using 3D Point Cloud Neural Network. 3128-3138 - Rubén Langarita, Adrià Armejach, Pablo Ibáñez, Jesús Alastruey-Benedé, Miquel Moretó:
Porting and Optimizing BWA-MEM2 Using the Fujitsu A64FX Processor. 3139-3153 - Li-Juan Qiao, Zhen Gao, Cunmei Ji, Zhi-Hao Liu, Chun-Hou Zheng, Yu-Tian Wang:
Potential circRNA-Disease Association Prediction Using DeepWalk and Nonnegative Matrix Factorization. 3154-3162 - Ibrahim Berber, Cesim Erten, Hilal Kazan:
Predator: Predicting the Impact of Cancer Somatic Mutations on Protein-Protein Interactions. 3163-3172 - Yiran Huang, Zhihong Wu, Wei Lan, Cheng Zhong:
Predicting Disease-Associated N7-Methylguanosine (m7G) Sites via Random Walk on Heterogeneous Network. 3173-3181 - Xin Luo, Liwei Wang, Pengwei Hu, Lun Hu:
Predicting Protein-Protein Interactions Using Sequence and Network Information via Variational Graph Autoencoder. 3182-3194 - Tuan D. Pham:
Prediction of Five-Year Survival Rate for Rectal Cancer Using Markov Models of Convolutional Features of RhoB Expression on Tissue Microarray. 3195-3204 - Ying Zhang, Fang Ge, Fuyi Li, Xibei Yang, Jiangning Song, Dong-Jun Yu:
Prediction of Multiple Types of RNA Modifications via Biological Language Model. 3205-3214 - Kanchan Jha, Sriparna Saha, Sourav Karmakar:
Prediction of Protein-Protein Interactions Using Vision Transformer and Language Model. 3215-3225 - Zhenyu Yue, Ying Xiang, Guojun Chen, Xiaosong Wang, Ke Li, Youhua Zhang:
PredinID: Predicting Pathogenic Inframe Indels in Human Through Graph Convolution Neural Network With Graph Sampling Technique. 3226-3233 - Cheng-Bang Chen, Yujie Wang, Xuanya Fu, Hui Yang:
Recurrence Network Analysis of Histopathological Images for the Detection of Invasive Ductal Carcinoma in Breast Cancer. 3234-3244 - Xinxing Yang, Genke Yang, Jian Chu:
Self-Supervised Learning for Label Sparsity in Computational Drug Repositioning. 3245-3256 - Peng Chen, Huimin Shen, Youzhi Zhang, Bing Wang, Pengying Gu:
SGNet: Sequence-Based Convolution and Ligand Graph Network for Protein Binding Affinity Prediction. 3257-3266 - Deng-Yao Tu, Peng-Chan Lin, Hsin-Hung Chou, Meng-Ru Shen, Sun-Yuan Hsieh:
Slice-Fusion: Reducing False Positives in Liver Tumor Detection for Mask R-CNN. 3267-3277 - Mengyi Tang, Kumbit Hwang, Sung Ha Kang:
StemP: A Fast and Deterministic Stem-Graph Approach for RNA Secondary Structure Prediction. 3278-3291 - Hongfei Zhao, Cunqi Shao, Zhiguo Shi, Shibo He, Zhefeng Gong:
The Intrinsic Similarity of Topological Structure in Biological Neural Networks. 3292-3305 - Junlin Wang, Wenbo Wang, Yi Shang:
Protein Loop Modeling Using AlphaFold2. 3306-3313 - Yongchang Liu, Peiying Li, Shikui Tu, Lei Xu:
RefinePocket: An Attention-Enhanced and Mask-Guided Deep Learning Approach for Protein Binding Site Prediction. 3314-3321 - Zhengsen Pan, Shusen Zhou, Tong Liu, Chanjuan Liu, Mujun Zang, Qingjun Wang:
WVDL: Weighted Voting Deep Learning Model for Predicting RNA-Protein Binding Sites. 3322-3328
Volume 20, Number 6, November - December 2023
- Zhipeng Cai, Min Li, Pavel Skums, Yanjie Wei:
Guest Editors' Introduction to the Special Section on Bioinformatics Research and Applications. 3329-3331 - Hunmin Lee, Mingon Kang, Donghyun Kim, Daehee Seo, Yingshu Li:
Epidemic Vulnerability Index for Effective Vaccine Distribution Against Pandemic. 3332-3342 - Qing Zhao, Jianqiang Li, Linna Zhao, Zhichao Zhu:
Knowledge Guided Feature Aggregation for the Prediction of Chronic Obstructive Pulmonary Disease With Chinese EMRs. 3343-3352 - Yueyue Wang, Xiujuan Lei, Yi Pan:
Microbe-Disease Association Prediction Using RGCN Through Microbe-Drug-Disease Network. 3353-3362 - Wei Peng, Zicheng Che, Wei Dai, Shoulin Wei, Wei Lan:
Predicting miRNA-Disease Associations From miRNA-Gene-Disease Heterogeneous Network With Multi-Relational Graph Convolutional Network Model. 3363-3375 - Sarwan Ali, Bikram Sahoo, Muhammad Asad Khan, Alexander Zelikovsky, Imdad Ullah Khan, Murray Patterson:
Efficient Approximate Kernel Based Spike Sequence Classification. 3376-3388 - Yuxia Guan, Ying An, Jingrui Xu, Ning Liu, Jianxin Wang:
HA-ResNet: Residual Neural Network With Hidden Attention for ECG Arrhythmia Detection Using Two-Dimensional Signal. 3389-3398 - Qiang Li, Hong Song, Zenghui Wei, Fengbo Yang, Jingfan Fan, Danni Ai, Yucong Lin, Xiaoling Yu, Jian Yang:
Densely Connected U-Net With Criss-Cross Attention for Automatic Liver Tumor Segmentation in CT Images. 3399-3410 - Zhilong Lv, Yuexiao Lin, Rui Yan, Ying Wang, Fa Zhang:
TransSurv: Transformer-Based Survival Analysis Model Integrating Histopathological Images and Genomic Data for Colorectal Cancer. 3411-3420 - Cheng Chen, Yuguo Zha, Daming Zhu, Kang Ning, Xuefeng Cui:
ContactLib-ATT: A Structure-Based Search Engine for Homologous Proteins. 3421-3429 - Jiamin Chen, Jianliang Gao, Tengfei Lyu, Babatounde Moctard Oloulade, Xiaohua Hu:
AutoMSR: Auto Molecular Structure Representation Learning for Multi-label Metabolic Pathway Prediction. 3430-3439 - Hong-Dong Li, Chao Deng, Xiao-Qi Zhang, Cui-Xiang Lin:
A Gene Set-Integrated Approach for Predicting Disease-Associated Genes. 3440-3450 - Haitao Fu, Cecheng Zhao, Xiaohui Niu, Wen Zhang:
DRLM: A Robust Drug Representation Learning Method and its Applications. 3451-3460 - Yurong Qian, Jingjing Zheng, Ying Jiang, Shaoqiu Li, Lei Deng:
Prediction of circRNA-MiRNA Association Using Singular Value Decomposition and Graph Neural Networks. 3461-3468 - Enhao Cheng, Jun Zhao, Hong Wang, Shuguang Song, Shuxian Xiong, Yanshen Sun:
Dual Network Contrastive Learning for Predicting Microbe-Disease Associations. 3469-3481 - Tiansu Gong, Fusong Ju, Shiwei Sun, Dongbo Bu:
SASA-Net: A Spatial-Aware Self-Attention Mechanism for Building Protein 3D Structure Directly From Inter- Residue Distances. 3482-3488 - Huan Wang, Ruigang Liu, Baijing Wang, Yifan Hong, Ziwen Cui, Qiufen Ni:
Multitype Perception Method for Drug-Target Interaction Prediction. 3489-3498 - Qingqing Cao, Jianping Zhao, Hai-Yun Wang, Qi Guan, Chun-Hou Zheng:
An Integrated Method Based on Wasserstein Distance and Graph for Cancer Subtype Discovery. 3499-3510 - Abhijit Mondal, Mukul S. Bansal:
Generalizing the Domain-Gene-Species Reconciliation Framework to Microbial Genes and Domains. 3511-3522 - Han Zhang, Zexuan Zhu, Hui Li, Shan He:
Network Biomarker Detection From Gene Co-Expression Network Using Gaussian Mixture Model Clustering. 3523-3534 - Wenming Wu, Wensheng Zhang, Weimin Hou, Xiaoke Ma:
Multi-View Clustering With Graph Learning for scRNA-Seq Data. 3535-3546 - Dayun Liu, Xianghui Li, Liangliang Zhang, Xiaowen Hu, Jiaxuan Zhang, Zhirong Liu, Lei Deng:
HGNNLDA: Predicting lncRNA-Drug Sensitivity Associations via a Dual Channel Hypergraph Neural Network. 3547-3555 - Jing Yang, Zhengshu Lu, Xu Chen, Deling Xu, Dewu Ding, Yanrui Ding:
GCNA-Cluster: A Gene Co-Expression Network Alignment to Cluster Cancer Patients Algorithm for Identifying Subtypes of Pancreatic Ductal Adenocarcinoma. 3556-3566 - Baoli Jia, Qingfang Meng, Yuehui Chen, Hongri Yang:
Prediction of Membrane Protein Amphiphilic Helix Based on Horizontal Visibility Graph and Graph Convolution Network. 3567-3574 - Kayode Yakub Saheed, Bukola Fatimah Balogun, Braimah Joseph Odunayo, Mustapha Abdulsalam:
Microarray Gene Expression Data Classification via Wilcoxon Sign Rank Sum and Novel Grey Wolf Optimized Ensemble Learning Models. 3575-3587 - Yinyin Gong, Rui Li, Bin Fu, Yan Liu, Jilong Wang, Renfa Li, Danny Z. Chen:
A CNN-LSTM Ensemble Model for Predicting Protein-Protein Interaction Binding Sites. 3588-3599 - Xin Wang, Jie Li, Guohua Wang:
MicroRNA Promoter Identification in Human With a Three-level Prediction Method. 3600-3608 - Yahui Cao, Tao Zhang, Xin Zhao, Xue Jia, Bingzhi Li:
MooSeeker: A Metabolic Pathway Design Tool Based on Multi-Objective Optimization Algorithm. 3609-3622 - Taoning Chen, Tingfang Wu, Deng Pan, Jinxing Xie, Jin Zhi, Xuejiao Wang, Lijun Quan, Qiang Lyu:
TransRNAm: Identifying Twelve Types of RNA Modifications by an Interpretable Multi-Label Deep Learning Model Based on Transformer. 3623-3634 - Weizhong Zhao, Wenjie Yao, Xingpeng Jiang, Tingting He, Chuan Shi, Xiaohua Hu:
An Explainable Framework for Predicting Drug-Side Effect Associations via Meta-Path-Based Feature Learning in Heterogeneous Information Network. 3635-3647 - Farnaz Sabahi:
A Design of mRNA-Based COVID-19 Vaccine Through Fuzzy Neural Network. 3648-3659 - Pedro Martínez-Paz, Javier Gomez-Pilar, Marta Martín-Fernández, Francisco C. Ceballos, Esther Gómez-Sánchez, Roberto Hornero, Eduardo Tamayo:
Gene Co-Expression Networks Offer New Perspectives on Sepsis Pathophysiology. 3660-3668 - Ran Liu, Ye-Fan Hu, Jin Du, Bao-Zhong Zhang, Thomas Yau, Xiaodan Fan, Jian-Dong Huang:
Family-Specific Training Improves Linear B Cell Epitope Prediction for Emerging Viruses. 3669-3680 - Pietro Bongini, Elisa Messori, Niccolò Pancino, Monica Bianchini:
A Deep Learning Approach to the Prediction of Drug Side-Effects on Molecular Graphs. 3681-3690 - Azwad Tamir, Milad Salem, Jiann-Shiun Yuan:
ProtEC: A Transformer Based Deep Learning System for Accurate Annotation of Enzyme Commission Numbers. 3691-3702 - Chun Pang Lin, Yajie Duan, Davit Sargsyan, Javier Cabrera, Christine M. Livingston, Robert Vogel, John Hartman, Mayukh Das, Willem Talloen, Helena Geys, Evangelos D. Kanoulas, Surya Mohanty:
Automated Spot Counting in Microbiology. 3703-3714 - Haochen Zhao, Ruihong Du, Ruikang Zhou, Suning Li, Guihua Duan, Jianxin Wang:
SCN-MLTPP: A Multi-Label Classifier for Predicting Therapeutic Properties of Peptides Using the Stacked Capsule Network. 3715-3724 - Xiaojian Ding, Fan Yang, Fumin Ma, Shilin Chen:
A Unified Multi-Class Feature Selection Framework for Microarray Data. 3725-3736 - Jin-Xing Liu, Dai-Jun Zhang, Jing-Xiu Zhao, Chun-Hou Zheng, Ying-Lian Gao:
Non-Negative Low-Rank Representation With Similarity Correction for Cell Type Identification in scRNA-Seq Data. 3737-3747 - Takeyuki Tamura:
MetNetComp: Database for Minimal and Maximal Gene-Deletion Strategies for Growth-Coupled Production of Genome-Scale Metabolic Networks. 3748-3758 - Xue Liu, Qian Cheng, Dan Sun, Wei Wei, Zhiming Zheng:
Anonymous Pattern Molecular Fingerprint and its Applications on Property Identification. 3759-3771 - Lijia Ma, Wenwei Deng, Yuan Bai, Zhanwei Du, Minfeng Xiao, Lin Wang, Jianqiang Li, Asoke K. Nandi:
Identifying Phage Sequences From Metagenomic Data Using Deep Neural Network With Word Embedding and Attention Mechanism. 3772-3785 - Md. Al Mehedi Hasan, Md. Maniruzzaman, Jungpil Shin:
Gene Expression and Metadata Based Identification of Key Genes for Hepatocellular Carcinoma Using Machine Learning and Statistical Models. 3786-3799 - Hyunwook Koh:
Subgroup Identification Using Virtual Twins for Human Microbiome Studies. 3800-3808 - Likun Jiang, Nan Sun, Yue Zhang, Xinyu Yu, Xiangrong Liu:
Bioactive Peptide Recognition Based on NLP Pre-Train Algorithm. 3809-3819 - Yuguang Li, Shuai Lu, Qiang Ma, Xiaofei Nan, Shoutao Zhang:
Protein-Protein Interaction Site Prediction Based on Attention Mechanism and Convolutional Neural Networks. 3820-3829 - Xingxing Zhou, Ming Ling, Qingde Lin, Shidi Tang, Jiansheng Wu, Haifeng Hu:
Effectiveness Analysis of Multiple Initial States Simulated Annealing Algorithm, a Case Study on the Molecular Docking Tool AutoDock Vina. 3830-3841 - Aryan Tajmir Riahi, Geoffrey Woollard, Frédéric Poitevin, Anne Condon, Khanh Dao Duc:
AlignOT: An Optimal Transport Based Algorithm for Fast 3D Alignment With Applications to Cryogenic Electron Microscopy Density Maps. 3842-3850 - Xiaoyu Guan, Daoqiang Zhang:
T-MGCL: Molecule Graph Contrastive Learning Based on Transformer for Molecular Property Prediction. 3851-3862 - Baoquan Zhang, Chuyao Luo, Hao Jiang, Shanshan Feng, Xutao Li, Bowen Zhang, Yunming Ye:
Adaptive Transfer of Graph Neural Networks for Few-Shot Molecular Property Prediction. 3863-3875 - Liyun Tong, Jinling Liang, Hong-xiang Hu:
Fault Detectability of Asynchronous Switched Boolean Networks: A Set Reachability Approach. 3876-3888 - Cunmei Ji, Ning Yu, Yu-Tian Wang, Rong Qi, Chun-Hou Zheng:
An End-to-End Deep Hybrid Autoencoder Based Method for Single-Cell RNA-Seq Data Analysis. 3889-3900
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