Whalen et al., 2022 - Google Patents

Navigating the pitfalls of applying machine learning in genomics

Whalen et al., 2022

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Document ID
17408840168489515890
Author
Whalen S
Schreiber J
Noble W
Pollard K
Publication year
Publication venue
Nature Reviews Genetics

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The scale of genetic, epigenomic, transcriptomic, cheminformatic and proteomic data available today, coupled with easy-to-use machine learning (ML) toolkits, has propelled the application of supervised learning in genomics research. However, the assumptions behind …
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    • G06F19/345—Medical expert systems, neural networks or other automated diagnosis
    • G—PHYSICS
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