期刊
NATURE GENETICS
卷 51, 期 1, 页码 12-18出版社
NATURE PORTFOLIO
DOI: 10.1038/s41588-018-0295-5
关键词
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资金
- Qualcomm Foundation
- NIH Center for Translational Science Award (CTSA) [UL1TR002550]
- Chan-Zuckerberg Biohub Investigator grant
- National Science Foundation (NSF) grant [CRII 1657155]
- [U54GM114833]
- [U24TR002306]
- NATIONAL CENTER FOR ADVANCING TRANSLATIONAL SCIENCES [UL1TR002550] Funding Source: NIH RePORTER
Deep learning methods are a class of machine learning techniques capable of identifying highly complex patterns in large datasets. Here, we provide a perspective and primer on deep learning applications for genome analysis. We discuss successful applications in the fields of regulatory genomics, variant calling and pathogenicity scores. We include general guidance for how to effectively use deep learning methods as well as a practical guide to tools and resources. This primer is accompanied by an interactive online tutorial.
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