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

delete2019-03-28
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OA
AI
K
Kathleen Chen
E
Evan M. Cofer
J
Jian Zhou
O
Olga G. Troyanskaya *
DOI:10.1038/s41592-019-0360-8delete
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摘要

摘要

En 中文
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.
Keyword:
DNA
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期刊

Nature Methods 封面图
Nature Methods
IF:
32.1
论文数:
7.2K
被引数:
12.7W

机构

P
Princeton University
学者数:
2.1W
论文数: 2.3W
被引数: 5.1W