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16th MLCB 2021: online
- David A. Knowles, Sara Mostafavi, Su-In Lee:
Machine Learning in Computational Biology Meeting, MLCB 2021, online, November 22-23, 2021. Proceedings of Machine Learning Research 165, PMLR 2021 - Hannah Zhou, Avanti Shrikumar, Anshul Kundaje:
Towards a Better Understanding of Reverse-Complement Equivariance for Deep Learning Models in Genomics. 1-33 - Yang Xue, Zijing Liu
, Xiaomin Fang
, Fan Wang:
Multimodal Pre-Training Model for Sequence-based Prediction of Protein-Protein Interaction. 34-46 - Jonathan A. J. Smith, Hao Xu, Xinran Li, Laurence Yang, Jahir Gutierrez:
Compound Screening with Deep Learning for Neglected Diseases: Leishmaniasis. 47-57 - Eva Prakash
, Avanti Shrikumar, Anshul Kundaje:
Towards More Realistic Simulated Datasets for Benchmarking Deep Learning Models in Regulatory Genomics. 58-77 - Zhiqing Xu, Jinghao Wu, Yun S. Song, Radhakrishnan Mahadevan:
Enzyme Activity Prediction of Sequence Variants on Novel Substrates using Improved Substrate Encodings and Convolutional Pooling. 78-87
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