Selene: a PyTorch-based deep learning library for sequence data.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 30923381.
- Also identified by DOI 10.1038/s41592-019-0360-8 and PMC identifier 7148117.
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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 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.
Medical subject headings
- Computational Biology
- Deep Learning
- Neural Networks, Computer
- Sequence Analysis, DNA