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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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 |
author2 |
Urbanowicz, Ryan Darabos, Christian Hu, Ting Urbanowicz, Ryan Darabos, Christian |
author_facet |
Urbanowicz, Ryan Darabos, Christian Hu, Ting Urbanowicz, Ryan Darabos, Christian |
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t h th r u ru c d cd |
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HerausgeberIn HerausgeberIn Sonstige Sonstige Sonstige |
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 |
work_keys_str_mv |
AT huting machinelearningingenomewideassociationstudies AT urbanowiczryan machinelearningingenomewideassociationstudies AT daraboschristian machinelearningingenomewideassociationstudies |
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(CKB)5400000000045755 (oapen)https://directory.doabooks.org/handle/20.500.12854/74360 (EXLCZ)995400000000045755 |
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is_hierarchy_title |
Machine Learning in Genome-Wide Association Studies |
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