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Selene: a PyTorch-based deep learning library for biological sequence-level data
View ORCID ProfileKathleen M. Chen, View ORCID ProfileEvan M. Cofer, View ORCID ProfileJian Zhou, View ORCID ProfileOlga G. Troyanskaya
doi: https://doi.org/10.1101/438291
Kathleen M. Chen
1Flatiron Institute, Simons Foundation, New York City, New York, United States of America
Evan M. Cofer
2Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey, United States of America
3Graduate Program in Quantitative and Computational Biology, Princeton University, Princeton, New Jersey, United States of America
Jian Zhou
1Flatiron Institute, Simons Foundation, New York City, New York, United States of America
2Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey, United States of America
Olga G. Troyanskaya
1Flatiron Institute, Simons Foundation, New York City, New York, United States of America
2Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey, United States of America
4Department of Computer Science, Princeton University, Princeton, New Jersey, United States of America
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Posted December 14, 2018.
Selene: a PyTorch-based deep learning library for biological sequence-level data
Kathleen M. Chen, Evan M. Cofer, Jian Zhou, Olga G. Troyanskaya
bioRxiv 438291; doi: https://doi.org/10.1101/438291
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