- Yu Sheng, Shengyi Yang, Huirong Hu, Guihua Duan:
Research on the Prediction Method of Disease Classification Based on Imaging Features. ISBRA 2022: 75-87 - Arjun Srivatsa, Haoyun Lei, Russell Schwartz:
A Clonal Evolution Simulator for Planning Somatic Evolution Studies. ISBRA 2022: 229-242 - Gaik Tamazian, Andrey B. Komissarov, Dmitry Kobak, Dmitry Polyakov, Evgeny Andronov, Sergei Nechaev, Sergey Kryzhevich, Yuri Porozov, Eugene Stepanov:
t-SNE Highlights Phylogenetic and Temporal Patterns of SARS-CoV-2 Spike and Nucleocapsid Protein Evolution. ISBRA 2022: 255-262 - Ying Wang, Ying-Lian Gao, Juan Wang, Junliang Shang, Jin-Xing Liu:
MLMVFE: A Machine Learning Approach Based on Muli-view Features Extraction for Drug-Disease Associations Prediction. ISBRA 2022: 1-8 - Zhichao Wang, Xuelei Li, Jintao Meng, Yi Pan, Yanjie Wei:
Simulating Spiking Neural Networks Based on SW26010pro. ISBRA 2022: 356-368 - Zhen-Chang Wang, Jin-Xing Liu, Junliang Shang, Ling-Yun Dai, Chun-Hou Zheng, Juan Wang:
ARGLRR: An Adjusted Random Walk Graph Regularization Sparse Low-Rank Representation Method for Single-Cell RNA-Sequencing Data Clustering. ISBRA 2022: 126-137 - Lei Wang, Yan Wang:
GNN-Dom: An Unsupervised Method for Protein Domain Partition via Protein Contact Map. ISBRA 2022: 286-294 - Xia Xiao, Xiaoqi Wang, Shengyun Liu, Shaoliang Peng:
MPCDDI: A Secure Multiparty Computation-Based Deep Learning Framework for Drug-Drug Interaction Predictions. ISBRA 2022: 263-274 - Tian-Yi Xing, Xiao-Xin Li, Zhi-Jie Chen, Xi-Yu Zheng, Fan Zhang:
Effectively Training MRI Reconstruction Network via Sequentially Using Undersampled k-Space Data with Very Low Frequency Gaps. ISBRA 2022: 30-40 - Zhenda Xu, Jiazi Ouyang, Qiang Gao, Aiqian Gan, Qihua Zhou, Jiahao Hu, Song Guo:
2D Photogrammetry Image of Adolescent Idiopathic Scoliosis Screening Using Deep Learning. ISBRA 2022: 330-342 - Bokai Yang, Ying Nan Zuo, Shunxiang Yang, Genqiang Deng, Suisong Zhu, Yunpeng Cai:
M-US-EMRs: A Multi-modal Data Fusion Method of Ultrasonic Images and Electronic Medical Records Used for Screening of Coronary Heart Disease. ISBRA 2022: 88-99 - Boyan Yordanov, Sara-Jane Dunn, Colin Gravill, Hillel Kugler, Christoph M. Wintersteiger:
An SMT-Based Framework for Reasoning About Discrete Biological Models. ISBRA 2022: 114-125 - Ying Yu, Junwen Duan, Han Jiang, Jian-Xin Wang:
Automatic ICD Coding Based on Multi-granularity Feature Fusion. ISBRA 2022: 19-29 - Haodi Zhang, Chenyu Xu, Peirou Liang, Ke Duan, Hao Ren, Weibin Cheng, Kaishun Wu:
MMLN: Leveraging Domain Knowledge for Multimodal Diagnosis. ISBRA 2022: 192-203 - Xinglong Zhang, Peng Xi, Wenjuan Liu, Shaoliang Peng:
EMRShareChain: A Privacy-Preserving EMR Sharing System Model Based on the Consortium Blockchain. ISBRA 2022: 343-355 - Jiancheng Zhong, Pan Cui, Zuohang Qu, Liuping Wang, Qiu Xiao, Yihong Zhu:
Prediction of Drug-Disease Relationship on Heterogeneous Networks Based on Graph Convolution. ISBRA 2022: 243-254 - Peixuan Zhou, Yi-Jia Zhang, Fei Chen, Kuo Pang, Mingyu Lu:
Heterogeneous PPI Network Representation Learning for Protein Complex Identification. ISBRA 2022: 217-228 - Xiaoshu Zhu, Liyuan Pang, Wei Lan, Shuang Meng, Xiaoqing Peng:
STgcor: A Distribution-Based Correlation Measurement Method for Spatial Transcriptome Data. ISBRA 2022: 9-18 - Qi Zou, Yan Sun, Feng Li, Juan Wang, Jin-Xing Liu, Junliang Shang:
TDCOSR: A Multimodality Fusion Framework for Association Analysis Between Genes and ROIs of Alzheimer's Disease. ISBRA 2022: 159-168 - Mukul S. Bansal, Zhipeng Cai, Serghei Mangul:
Bioinformatics Research and Applications - 18th International Symposium, ISBRA 2022, Haifa, Israel, November 14-17, 2022, Proceedings. Lecture Notes in Computer Science 13760, Springer 2022, ISBN 978-3-031-23197-1 [contents] - 2021
- Jiang Xie, Jiaming Ouyang, Chang Zhao, Hongjian He, Xin Dong:
A Deep Learning Approach Based on Feature Reconstruction and Multi-dimensional Attention Mechanism for Drug-Drug Interaction Prediction. ISBRA 2021: 400-410 - Zehua Guo, Kai Su, Liangjie Liu, Xianbin Su, Mofan Feng, Song Cao, Mingxuan Zhang, Runqiu Chi, Luming Meng, Guang He, Yi Shi:
Improving Protein-protein Interaction Prediction by Incorporating 3D Genome Information. ISBRA 2021: 511-520 - Sarwan Ali, Bikram Sahoo, Naimat Ullah, Alexander Zelikovskiy, Murray Patterson, Imdadullah Khan:
A k-mer Based Approach for SARS-CoV-2 Variant Identification. ISBRA 2021: 153-164 - Francesco Arcamone, Yanlun Tu, Yang Yang:
Prediction of Protein Subcellular Localization from Microscopic Images via Few-Shot Learning. ISBRA 2021: 241-253 - Tian Bai, Zhenting Zhang, Chen Zhao, Xiao Luo:
A Novel Pseudo-Labeling Approach for Cell Detection Based on Adaptive Threshold. ISBRA 2021: 254-265 - Xuesheng Bian, Gang Li, Cheng Wang, Siqi Shen, Weiquan Liu, Xiuhong Lin, Zexin Chen, Mancheung Cheung, Xióngbiao Luó:
OrgaNet: A Deep Learning Approach for Automated Evaluation of Organoids Viability in Drug Screening. ISBRA 2021: 411-423 - Margherita Cavattoni, Matteo Comin:
Boosting Metagenomic Classification with Reads Overlap Graphs. ISBRA 2021: 521-533 - Zicheng Che, Wei Peng, Wei Dai, Shoulin Wei, Wei Lan:
A Heterogeneous Graph Convolutional Network-Based Deep Learning Model to Identify miRNA-Disease Association. ISBRA 2021: 130-141 - Ming Chen, Yi Pan, Chunyan Ji:
Predicting Drug Drug Interactions by Signed Graph Filtering-Based Convolutional Networks. ISBRA 2021: 375-387 - Jianhong Cheng, Qichang Zhao, Lei Xu, Jin Liu:
A New Deep Learning Training Scheme: Application to Biomedical Data. ISBRA 2021: 451-459