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Volume 165: Machine Learning in Computational Biology, 22-23 November 2021, Online
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Editors: David A. Knowles, Sara Mostafavi, Su-In Lee
Towards a Better Understanding of Reverse-Complement Equivariance for Deep Learning Models in Genomics
Proceedings of the 16th Machine Learning in Computational Biology meeting, PMLR 165:1-33
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Multimodal Pre-Training Model for Sequence-based Prediction of Protein-Protein Interaction
Proceedings of the 16th Machine Learning in Computational Biology meeting, PMLR 165:34-46
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Compound Screening with Deep Learning for Neglected Diseases: Leishmaniasis
Proceedings of the 16th Machine Learning in Computational Biology meeting, PMLR 165:47-57
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Towards More Realistic Simulated Datasets for Benchmarking Deep Learning Models in Regulatory Genomics
Proceedings of the 16th Machine Learning in Computational Biology meeting, PMLR 165:58-77
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Enzyme Activity Prediction of Sequence Variants on Novel Substrates using Improved Substrate Encodings and Convolutional Pooling
Proceedings of the 16th Machine Learning in Computational Biology meeting, PMLR 165:78-87
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