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Editors: David A Knowles, Sara Mostafavi
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Computational design of target-specific linear peptide binders with TransformerBeta
; Proceedings of the 19th Machine Learning in Computational Biology meeting, PMLR 261:1-27
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Wave-LSTM: Multi-scale analysis of somatic whole genome copy number profiles
Charles Gadd, Christopher Yau; Proceedings of the 19th Machine Learning in Computational Biology meeting, PMLR 261:28-37
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Towards improving full-length ribosome density prediction by bridging sequence and graph-based representations
Mohan Vamsi Nallapareddy, Francesco Craighero, Cédric Gobet, Felix Naef, Pierre Vandergheynst; Proceedings of the 19th Machine Learning in Computational Biology meeting, PMLR 261:38-52
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CONE: COntext-specific Network Embedding via Contextualized Graph Attention
Renming Liu, Hao Yuan, Kayla Johnson, Arjun Krishnan; Proceedings of the 19th Machine Learning in Computational Biology meeting, PMLR 261:53-71
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Joint trajectory and network inference via reference fitting
Stephen Y Zhang; Proceedings of the 19th Machine Learning in Computational Biology meeting, PMLR 261:72-85
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Beware of Data Leakage from Protein LLM Pretraining
Leon Hermann, Tobias Fiedler, Hoang An Nguyen, Melania Nowicka, Jakub M Bartoszewicz; Proceedings of the 19th Machine Learning in Computational Biology meeting, PMLR 261:106-116
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Graph learning for capturing long-range dependencies in protein structures
Ali Hariri, Pierre Vandergheynst; Proceedings of the 19th Machine Learning in Computational Biology meeting, PMLR 261:117-128
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QuickBind: A Light-Weight And Interpretable Molecular Docking Model
Wojtek Treyde, Seohyun Chris Kim, Nazim Bouatta, Mohammed AlQuraishi; Proceedings of the 19th Machine Learning in Computational Biology meeting, PMLR 261:129-152
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PathoLM: Identifying pathogenicity from the DNA sequence through the Genome Foundation Model
Sajib Acharjee Dip; Proceedings of the 19th Machine Learning in Computational Biology meeting, PMLR 261:153-161
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MedGraphNet: Leveraging Multi-Relational Graph Neural Networks and Text Knowledge for Biomedical Predictions
Oladimeji S Macaulay, Michael Servilla, Kushal Virupakshappa, David Arredondo, Yue Hu, Luis Tafoya, Yanfu Zhang, Avinash Sahu; Proceedings of the 19th Machine Learning in Computational Biology meeting, PMLR 261:162-182
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