Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                

[edit]

Volume 165: Machine Learning in Computational Biology, 22-23 November 2021, Online

[edit]

Editors: David A. Knowles, Sara Mostafavi, Su-In Lee

[bib][citeproc]

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

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

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

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

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

subscribe via RSS