| 2023 | CDGCN: Conditional de novo Drug Generative Model Using Graph Convolution Networks. Shikha Mallick, Sahely Bhadra |
| 2023 | Computing Shortest Hyperpaths for Pathway Inference in Cellular Reaction Networks. Spencer Krieger, John D. Kececioglu |
| 2023 | DM-Net: A Dual-Model Network for Automated Biomedical Image Diagnosis. Xiaogen Zhou, Zhiqiang Li, Tong Tong |
| 2023 | MTGL-ADMET: A Novel Multi-task Graph Learning Framework for ADMET Prediction Enhanced by Status-Theory and Maximum Flow. Bing-Xue Du, Yi Xu, Siu-Ming Yiu, Hui Yu, Jian-Yu Shi |
| 2023 | Percolate: An Exponential Family JIVE Model to Design DNA-Based Predictors of Drug Response. Soufiane Mourragui, Marco Loog, Mirrelijn M. van Nee, Mark A. van de Wiel, Marcel J. T. Reinders, Lodewyk F. A. Wessels |
| 2023 | Research in Computational Molecular Biology - 27th Annual International Conference, RECOMB 2023, Istanbul, Turkey, April 16-19, 2023, Proceedings Haixu Tang |
| 2023 | Sequence to Graph Alignment Using Gap-Sensitive Co-linear Chaining. Ghanshyam Chandra, Chirag Jain |
| 2023 | Spectrum Preserving Tilings Enable Sparse and Modular Reference Indexing. Jason Fan, Jamshed Khan, Giulio Ermanno Pibiri, Rob Patro |
| 2023 | Statistically Consistent Rooting of Species Trees Under the Multispecies Coalescent Model. Yasamin Tabatabaee, Sébastien Roch, Tandy J. Warnow |
| 2023 | T-Cell Receptor Optimization with Reinforcement Learning and Mutation Polices for Precision Immunotherapy. Ziqi Chen, Martin Renqiang Min, Hongyu Guo, Chao Cheng, Trevor Clancy, Xia Ning |
| 2023 | Translation Rate Prediction and Regulatory Motif Discovery with Multi-task Learning. Weizhong Zheng, John H. C. Fong, Yuk Kei Wan, Athena H. Y. Chu, Yuanhua Huang, Alan S. L. Wong, Joshua W. K. Ho |
| 2023 | VStrains: De Novo Reconstruction of Viral Strains via Iterative Path Extraction from Assembly Graphs. Runpeng Luo, Yu Lin |