Machine Learning in Genome-Wide Association Studies

This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Orig...

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Year of Publication:2020
Language:English
Physical Description:1 electronic resource (74 p.)
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spelling Hu, Ting edt
Machine Learning in Genome-Wide Association Studies
Frontiers Media SA 2020
1 electronic resource (74 p.)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact
English
Science: general issues bicssc
Medical genetics bicssc
GWAS—genome-wide association study
machine learning
complex diseases
gene-gene interaction
epistasis
2-88966-229-2
Urbanowicz, Ryan edt
Darabos, Christian edt
Hu, Ting oth
Urbanowicz, Ryan oth
Darabos, Christian oth
language English
format eBook
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Darabos, Christian
Hu, Ting
Urbanowicz, Ryan
Darabos, Christian
author_facet Urbanowicz, Ryan
Darabos, Christian
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Darabos, Christian
author2_variant t h th
r u ru
c d cd
author2_role HerausgeberIn
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title Machine Learning in Genome-Wide Association Studies
spellingShingle Machine Learning in Genome-Wide Association Studies
title_full Machine Learning in Genome-Wide Association Studies
title_fullStr Machine Learning in Genome-Wide Association Studies
title_full_unstemmed Machine Learning in Genome-Wide Association Studies
title_auth Machine Learning in Genome-Wide Association Studies
title_new Machine Learning in Genome-Wide Association Studies
title_sort machine learning in genome-wide association studies
publisher Frontiers Media SA
publishDate 2020
physical 1 electronic resource (74 p.)
isbn 2-88966-229-2
illustrated Not Illustrated
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