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Editors: David A. Knowles, Sara Mostafavi, Su-In Lee
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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
Yang Xue, Zijing Liu, Xiaomin Fang, Fan Wang; 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
Jonathan A. J. Smith, Hao Xu, Xinran Li, Laurence Yang, Jahir Gutierrez; 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
Eva I. Prakash, Avanti Shrikumar, Anshul Kundaje; 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
Zhiqing Xu, Jinghao Wu, Yun S. Song, Radhakrishnan Mahadevan; Proceedings of the 16th Machine Learning in Computational Biology meeting, PMLR 165:78-87
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