Towards a Better Understanding of Reverse-Complement Equivariance for Deep Learning Models in Genomics

Hannah Zhou, Avanti Shrikumar, Anshul Kundaje; 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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