Deep learning for regulatory genomics

Yongjin Park; M Kellis

doi:10.1038/nbt.3313

Deep learning for regulatory genomics

Yongjin Park (MIT Computer Science and Artificial Intelligence Laboratory) iD M Kellis (MIT Computer Science and Artificial Intelligence Laboratory) iD

Journal: Nature Biotechnology • 2015-08-01 • Nature Portfolio • ISSN: 0733-222X

Abstract

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Subjects & Keywords

# Genomics and Chromatin Dynamics # Biochemistry, Genetics and Molecular Biology # Machine Learning in Bioinformatics # Genomics and Phylogenetic Studies

How to Cite this Article

                    Yongjin Park, M Kellis (2015). "Deep learning for regulatory genomics". Nature Biotechnology. https://doi.org/10.1038/nbt.3313                

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Identifiers & Provenance

DOI: https://doi.org/10.1038/nbt.3313 ↗
PMID: 26252139 ↗
OpenAlex: W1123205372 ↗
Primary Index: OPENALEX