Interpretable machine learning for genomics
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DOI: 10.1007/s00439-021-02387-9
Abstract: High-throughput technologies such as next-generation sequencing allow biologists to observe cell function with unprecedented resolution, but the resulting datasets are too large and complicated for humans to understand without the aid of advanced statistical methods.… read more here.
Keywords: machine; medicine; machine learning; interpretable machine ... See more keywords
A primer on deep learning in genomics
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DOI: 10.1038/s41588-018-0295-5
Abstract: 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… read more here.
Keywords: learning genomics; learning; deep learning; primer deep ... See more keywords
Deep learning for genomics
Sign Up to like & getrecommendations! Published in 2018 at "Nature Genetics"
DOI: 10.1038/s41588-018-0328-0
Abstract: Application of deep learning to genomic datasets is an exciting area that is rapidly developing and is primed to revolutionize genome analysis. We embrace the potential that deep learning holds for understanding genome biology, and… read more here.
Keywords: learning genomics; biology; deep learning;