Learning and interpreting the gene regulatory grammar in a deep learning framework

Ling Chen; John A. Capra

doi:10.1371/journal.pcbi.1008334

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Open Access

Peer-reviewed

Research Article

Learning and interpreting the gene regulatory grammar in a deep learning framework

Ling Chen,

Roles Conceptualization, Data curation, Formal analysis, Methodology, Visualization, Writing – original draft, Writing – review & editing

Affiliation Department of Biological Sciences, Vanderbilt University, Nashville, TN, United States of America

https://orcid.org/0000-0002-3272-1852

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John A. Capra

Roles Conceptualization, Funding acquisition, Methodology, Resources, Supervision, Writing – original draft, Writing – review & editing

* E-mail: tony.capra@vanderbilt.edu

Affiliations Department of Biological Sciences, Vanderbilt University, Nashville, TN, United States of America, Vanderbilt Genetics Institute and Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, United States of America, Department of Computer Science, Vanderbilt University, Nashville, TN, United States of America

https://orcid.org/0000-0001-9743-1795

⨯

Learning and interpreting the gene regulatory grammar in a deep learning framework

Ling Chen,
John A. Capra

Published: November 2, 2020
https://doi.org/10.1371/journal.pcbi.1008334
See the preprint

About the Authors

Ling Chen

Roles Conceptualization, Data curation, Formal analysis, Methodology, Visualization, Writing – original draft, Writing – review & editing

Affiliation Department of Biological Sciences, Vanderbilt University, Nashville, TN, United States of America

https://orcid.org/0000-0002-3272-1852

John A. Capra

Roles Conceptualization, Funding acquisition, Methodology, Resources, Supervision, Writing – original draft, Writing – review & editing

* E-mail: tony.capra@vanderbilt.edu

Affiliations Department of Biological Sciences, Vanderbilt University, Nashville, TN, United States of America, Vanderbilt Genetics Institute and Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, United States of America, Department of Computer Science, Vanderbilt University, Nashville, TN, United States of America

https://orcid.org/0000-0001-9743-1795

Competing Interests

The authors have declared that no competing interests exist.

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Neurons
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Neural networks
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Sequence motif analysis
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Machine learning
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