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bioRxiv · 10.1101/438291

Selene: a PyTorch-based deep learning library for sequence-level data

Chen, K. M.·Cofer, E. M.·Zhou, J.·Troyanskaya, O. G.
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Abstract

To enable the application of deep learning in biology, we present Selene (https://selene.flatironinstitute.org/), a PyTorch-based deep learning library for fast and easy development, training, and application of deep learning model architectures for any biological sequences. We demonstrate how Selene allows researchers to easily train a published architecture on new data, develop and evaluate a new architecture, and use a trained model to answer biological questions of interest.

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Chen, K. M., Cofer, E. M., Zhou, J., Troyanskaya, O. G.. 2018-10-10. Selene: a PyTorch-based deep learning library for sequence-level data. https://doi.org/10.1101/438291

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