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IEEE/ACM Transactions on Computational Biology and Bioinformatics, Volume 21
Volume 21, Number 1, January - February 2024
- Yamane El-Zein, Mathieu Lemay, Kévin Huguenin:
PrivaTree: Collaborative Privacy-Preserving Training of Decision Trees on Biomedical Data. 1-13 - Chao Tu, Denghui Du, Tieyong Zeng, Yu Zhang:
Deep Multi-Dictionary Learning for Survival Prediction With Multi-Zoom Histopathological Whole Slide Images. 14-25 - Jordan Morris, Ashur Rafiev, Graeme M. Bragg, Mark L. Vousden, David B. Thomas, Alex Yakovlev, Andrew D. Brown:
An Event-Driven Approach to Genotype Imputation on a Custom RISC-V Cluster. 26-35 - Souradipto Choudhuri, Keya Sau:
CodonU: A Python Package for Codon Usage Analysis. 36-44 - Shengpeng Yu, Hong Wang, Jing Li, Jun Zhao, Cheng Liang, Yanshen Sun:
A Multi-Relational Graph Encoder Network for Fine-Grained Prediction of MiRNA-Disease Associations. 45-56 - Rui Guo, Xu Tian, Hanhe Lin, Stephen J. McKenna, Hong-Dong Li, Fei Guo, Jin Liu:
Graph-Based Fusion of Imaging, Genetic and Clinical Data for Degenerative Disease Diagnosis. 57-68 - Jonas Kristiansen Nøland, Steinar Thorvaldsen:
The Exact Stochastic Process of the Haploid Multi-Allelic Wright-Fisher Mutation Model. 69-83 - Wenliang Tang, Zhaohong Deng, Hanwen Zhou, Wei Zhang, Fuping Hu, Kup-Sze Choi, Shitong Wang:
MVDINET: A Novel Multi-Level Enzyme Function Predictor With Multi-View Deep Interactive Learning. 84-94 - Shujie Dong, Yuansheng Liu, Yongshun Gong, Xiangjun Dong, Xiangxiang Zeng:
scCAN: Clustering With Adaptive Neighbor-Based Imputation Method for Single-Cell RNA-Seq Data. 95-105 - Nicolò Rossi, Nicola Gigante, Nicola Vitacolonna, Carla Piazza:
Inferring Markov Chains to Describe Convergent Tumor Evolution With CIMICE. 106-119 - Dandan Li, Zhen Xiao, Han Sun, Xingpeng Jiang, Weizhong Zhao, Xianjun Shen:
Prediction of Drug-Disease Associations Based on Multi-Kernel Deep Learning Method in Heterogeneous Graph Embedding. 120-128 - Changyong Yu, Yuhai Zhao, Chu Zhao, Jianyu Jin, Keming Mao, Guoren Wang:
MiniDBG: A Novel and Minimal De Bruijn Graph for Read Mapping. 129-142 - Wei Wang, MengXue Yu, Bin Sun, Juntao Li, Dong Liu, Hongjun Zhang, Xianfang Wang, Yun Zhou:
SMGCN: Multiple Similarity and Multiple Kernel Fusion Based Graph Convolutional Neural Network for Drug-Target Interactions Prediction. 143-154 - Rituparna Sinha, Rajat Kumar Pal, Rajat K. De:
ENLIGHTENMENT: A Scalable Annotated Database of Genomics and NGS-Based Nucleotide Level Profiles. 155-168 - Eric J. Barnett, Daniel G. Onete, Asif Salekin, Stephen V. Faraone:
Genomic Machine Learning Meta-regression: Insights on Associations of Study Features With Reported Model Performance. 169-177 - Yuerui Liu, Yongquan Jiang, Fan Zhang, Yan Yang:
A Novel Multi-Scale Graph Neural Network for Metabolic Pathway Prediction. 178-187 - Junchang Xin, Mingcan Wang, Luxuan Qu, Qi Chen, Weiyiqi Wang, Zhiqiong Wang:
BIC-LP: A Hybrid Higher-Order Dynamic Bayesian Network Score Function for Gene Regulatory Network Reconstruction. 188-199 - Pengcheng Zeng, Zhixiang Lin:
scICML: Information-Theoretic Co-Clustering-Based Multi-View Learning for the Integrative Analysis of Single-Cell Multi-Omics Data. 200-207 - Bindi M. Nagda, Van Minh Nguyen, Ryan T. White:
promSEMBLE: Hard Pattern Mining and Ensemble Learning for Detecting DNA Promoter Sequences. 208-214
Volume 21, Number 2, March - April 2024
- Fernando Cruz, João Capela, Eugénio C. Ferreira, Miguel Rocha, Oscar Días:
BioISO: An Objective-Oriented Application for Assisting the Curation of Genome-Scale Metabolic Models. 215-226 - Hao Zhang, Jiao Jiao, Tianheng Zhao, Enshuang Zhao, Lanhui Li, Guihua Li, Borui Zhang, Qing-Ming Qin:
GERWR: Identifying the Key Pathogenicity- Associated sRNAs of Magnaporthe Oryzae Infection in Rice Based on Graph Embedding and Random Walk With Restart. 227-239 - Daniel Manu, Jingjing Yao, Wuji Liu, Xiang Sun:
GraphGANFed: A Federated Generative Framework for Graph-Structured Molecules Towards Efficient Drug Discovery. 240-253 - Zhao-Qi Hu, Yuan-Mao Hung, Li-Han Chen, Liang-Chuan Lai, Min-Hsiung Pan, Eric Y. Chuang, Mong-Hsun Tsai:
NURECON: A Novel Online System for Determining Nutrition Requirements Based on Microbial Composition. 254-264 - Sichen Jin, Yijia Zhang, Huimin Yu, Mingyu Lu:
SADR: Self-Supervised Graph Learning With Adaptive Denoising for Drug Repositioning. 265-277 - Alina F. Leuchtenberger, Arndt von Haeseler:
Learning From an Artificial Neural Network in Phylogenetics. 278-288 - Wenjing Wang, Pengyong Han, Zhengwei Li, Ru Nie, Kangwei Wang, Lei Wang, Hongmei Liao:
LMGATCDA: Graph Neural Network With Labeling Trick for Predicting circRNA-Disease Associations. 289-300 - Tiantian Li, Haitao Jiang, Binhai Zhu, Lusheng Wang, Daming Zhu:
Flanked Block-Interchange Distance on Strings. 301-311
Volume 21, Number 3, May - June 2024
- João Paulo Pereira Zanetti, Lucas Peres Oliveira, João Meidanis, Leonid Chindelevitch:
Counting Sorting Scenarios and Intermediate Genomes for the Rank Distance. 316-327 - Nan Sheng, Xuping Xie, Yan Wang, Lan Huang, Shuangquan Zhang, Ling Gao, Hao Wang:
A Survey of Deep Learning for Detecting miRNA- Disease Associations: Databases, Computational Methods, Challenges, and Future Directions. 328-347 - Tara Newman, Hiu Fung Kevin Chang, Hosna Jabbari:
DinoKnot: Duplex Interaction of Nucleic Acids With PseudoKnots. 348-359 - Juan Wang, Zhen-Chang Wang, Shasha Yuan, Chun-Hou Zheng, Jin-Xing Liu, Junliang Shang:
A Clustering Method for Single-Cell RNA-Seq Data Based on Automatic Weighting Penalty and Low-Rank Representation. 360-371 - Xiaohui Yang, Ye-Tong Wang, Ming-Hui Wu, Fan Li, Cheng-Long Zhou, Li-Jun Yang, Chen Zheng, Yong Li, Zhi Li, Si-Yi Guo, Chun-Peng Song:
SLPA-Net: A Real-Time Recognition Network for Intelligent Stomata Localization and Phenotypic Analysis. 372-382 - Shan Zhang, Yuan Zhou, Pei Geng, Qing Lu:
Functional Neural Networks for High-Dimensional Genetic Data Analysis. 383-393 - Cheng Yan, Guihua Duan:
PMDAGS: Predicting miRNA-Disease Associations With Graph Nonlinear Diffusion Convolution Network and Similarities. 394-404 - Sheena K. S., Madhu S. Nair:
GenCoder: A Novel Convolutional Neural Network Based Autoencoder for Genomic Sequence Data Compression. 405-415 - Wei Wang, Zhenxi Sun, Dong Liu, Hongjun Zhang, Juntao Li, Xian-Fang Wang, Yun Zhou:
MAHyNet: Parallel Hybrid Network for RNA-Protein Binding Sites Prediction Based on Multi-Head Attention and Expectation Pooling. 416-427 - Sunyong Yoo, Myeonghyeon Jeong, Subhin Seomun, Kiseong Kim, Youngmahn Han:
Interpretable Prediction of SARS-CoV-2 Epitope-Specific TCR Recognition Using a Pre-Trained Protein Language Model. 428-438 - Pallavi M. Shanthappa, Neeraj Verma, Anu George, Pawan K. Dhar, Prashanth Athri:
Computational Prediction of Potential Vaccine Candidates From tRNA Encoded peptides (tREP) Using a Bioinformatic Workflow and Molecular Dynamics Validations. 439-449 - Arnav Solanki, James L. Cornette, Julia Udell, George Vasmatzis, Marc D. Riedel:
Evasive Spike Variants Elucidate the Preservation of T Cell Immune Response to the SARS-CoV-2 Omicron Variant. 450-460 - Yuhang Jia, Siyu Li, Rui Jiang, Shengquan Chen:
Accurate Annotation for Differentiating and Imbalanced Cell Types in Single-Cell Chromatin Accessibility Data. 461-471 - Minglie Li, Shusen Zhou, Tong Liu, Chanjuan Liu, Mujun Zang, Qingjun Wang:
TSVM: Transfer Support Vector Machine for Predicting MPRA Validated Regulatory Variants. 472-479 - Ke Ma, Jiawei Li, Mengyuan Zhao, Ibrahim Zamit, Bin Lin, Fei Guo, Jijun Tang:
PPRTGI: A Personalized PageRank Graph Neural Network for TF-Target Gene Interaction Detection. 480-491 - Weiling Li, Raunaq Malhotra, Steven H. Wu, Manjari Jha, Allen G. Rodrigo, Mary Poss, Raj Acharya:
ViPRA-Haplo: De Novo Reconstruction of Viral Populations Using Paired End Sequencing Data. 492-500 - Gabriel Cardona, Joan Carles Pons, Gerard Ribas, Tomás Martínez Coronado:
Comparison of Orchard Networks Using Their Extended $\mu$μ-Representation. 501-507 - Alejandro Valdés-Jiménez, Miguel Reyes-Parada, Gabriel Núñez-Vivanco, Daniel Jiménez-González:
Parallel Algorithm for Discovering and Comparing Three-Dimensional Proteins Patterns. 508-515
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