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27th RECOMB 2023: Istanbul, Turkey
- Haixu Tang:
Research in Computational Molecular Biology - 27th Annual International Conference, RECOMB 2023, Istanbul, Turkey, April 16-19, 2023, Proceedings. Lecture Notes in Computer Science 13976, Springer 2023, ISBN 978-3-031-29118-0
Extended Abstracts
- Runpeng Luo
, Yu Lin
VStrains: De Novo Reconstruction of Viral Strains via Iterative Path Extraction from Assembly Graphs. 3-20 - Jason Fan, Jamshed Khan, Giulio Ermanno Pibiri, Rob Patro:
Spectrum Preserving Tilings Enable Sparse and Modular Reference Indexing. 21-40 - Yasamin Tabatabaee
Statistically Consistent Rooting of Species Trees Under the Multispecies Coalescent Model. 41-57 - Ghanshyam Chandra, Chirag Jain:
Sequence to Graph Alignment Using Gap-Sensitive Co-linear Chaining. 58-73 - Xiaogen Zhou, Zhiqiang Li, Tong Tong:
DM-Net: A Dual-Model Network for Automated Biomedical Image Diagnosis. 74-84 - Bing-Xue Du, Yi Xu, Siu-Ming Yiu, Hui Yu, Jian-Yu Shi:
MTGL-ADMET: A Novel Multi-task Graph Learning Framework for ADMET Prediction Enhanced by Status-Theory and Maximum Flow. 85-103 - Shikha Mallick
CDGCN: Conditional de novo Drug Generative Model Using Graph Convolution Networks. 104-119 - Soufiane Mourragui, Marco Loog, Mirrelijn M. van Nee, Mark A. van de Wiel, Marcel J. T. Reinders, Lodewyk F. A. Wessels:
Percolate: An Exponential Family JIVE Model to Design DNA-Based Predictors of Drug Response. 120-138 - Weizhong Zheng, John H. C. Fong
Translation Rate Prediction and Regulatory Motif Discovery with Multi-task Learning. 139-154 - Spencer Krieger, John D. Kececioglu:
Computing Shortest Hyperpaths for Pathway Inference in Cellular Reaction Networks. 155-173 - Ziqi Chen
T-Cell Receptor Optimization with Reinforcement Learning and Mutation Polices for Precision Immunotherapy. 174-191
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