Deep learning: new computational modelling techniques for genomics

Gökçen Eraslan; Žiga Avsec; Julien Gagneur; Fabian Joachim Theis

doi:10.1038/s41576-019-0122-6

Deep learning: new computational modelling techniques for genomics

Gökçen Eraslan (Helmholtz Munich) iD Žiga Avsec (Technical University of Munich) iD Julien Gagneur (Technical University of Munich) iD Fabian Joachim Theis (Helmholtz Munich) iD

Journal: Nature Reviews Genetics • 2019-04-10 • Nature Portfolio • ISSN: 1471-0056

Abstract

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Subjects & Keywords

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

How to Cite this Article

                    Gökçen Eraslan, Žiga Avsec, Julien Gagneur, et al. (2019). "Deep learning: new computational modelling techniques for genomics". Nature Reviews Genetics. https://doi.org/10.1038/s41576-019-0122-6                

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Identifiers & Provenance

DOI: https://doi.org/10.1038/s41576-019-0122-6 ↗
PMID: 30971806 ↗
OpenAlex: W2935703330 ↗
Primary Index: OPENALEX