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

TitleSelene: a PyTorch-based deep learning library for sequence data.
Publication TypeJournal Article
Year of Publication2019
AuthorsChen, KM, Cofer, EM, Zhou, J, Troyanskaya, OG
JournalNat Methods
Volume16
Issue4
Pagination315-318
Date Published2019 Apr
ISSN1548-7105
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 sequence data. We demonstrate on DNA sequences 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.

DOI10.1038/s41592-019-0360-8
Alternate JournalNat. Methods
PubMed ID30923381