000			02178naaaa2200409uu 4500
001			https://directory.doabooks.org/handle/20.500.12854/74360
005			20220220045632.0
020			_a978-2-88966-229-6
020			_a9782889662296
024	7		_a10.3389/978-2-88966-229-6 _cdoi
041	0		_aEnglish
042			_adc
072		7	_aPD _2bicssc
072		7	_aMFN _2bicssc
100	1		_aHu, Ting _4edt
700	1		_aUrbanowicz, Ryan _4edt
700	1		_aDarabos, Christian _4edt
700	1		_aHu, Ting _4oth
700	1		_aUrbanowicz, Ryan _4oth
700	1		_aDarabos, Christian _4oth
245	1	0	_aMachine Learning in Genome-Wide Association Studies
260			_bFrontiers Media SA _c2020
300			_a1 electronic resource (74 p.)
506	0		_aOpen Access _2star _fUnrestricted online access
520			_aThis 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
540			_aCreative Commons _fhttps://creativecommons.org/licenses/by/4.0/ _2cc _4https://creativecommons.org/licenses/by/4.0/
546			_aEnglish
650		7	_aScience: general issues _2bicssc
650		7	_aMedical genetics _2bicssc
653			_aGWAS—genome-wide association study
653			_amachine learning
653			_acomplex diseases
653			_agene-gene interaction
653			_aepistasis
856	4	0	_awww.oapen.org _uhttps://www.frontiersin.org/research-topics/10891/machine-learning-in-genome-wide-association-studies _70 _zDOAB: download the publication
856	4	0	_awww.oapen.org _uhttps://directory.doabooks.org/handle/20.500.12854/74360 _70 _zDOAB: description of the publication
999			_c66411 _d66411