LEADER 02028nam  2200457z- 450 
001 9910557760703321
005 20211118
035   $a(CKB)5400000000045755
035   $a(oapen)https://directory.doabooks.org/handle/20.500.12854/74360
035   $a(oapen)doab74360
035   $a(EXLCZ)995400000000045755
100   $a20202111d2020      |y         0
101 0 $aeng
135   $aurmn|---annan
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 00$aMachine Learning in Genome-Wide Association Studies
210   $cFrontiers Media SA$d2020
215   $a1 online resource (74 p.)
311 08$a2-88966-229-2 
330   $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
606   $aMedical genetics$2bicssc
606   $aScience: general issues$2bicssc
610   $acomplex diseases
610   $aepistasis
610   $agene-gene interaction
610   $aGWAS-genome-wide association study
610   $amachine learning
615  7$aMedical genetics
615  7$aScience: general issues
700   $aHu$b Ting$4edt$01331606
702   $aUrbanowicz$b Ryan$4edt
702   $aDarabos$b Christian$4edt
702   $aHu$b Ting$4oth
702   $aUrbanowicz$b Ryan$4oth
702   $aDarabos$b Christian$4oth
906   $aBOOK
912   $a9910557760703321
996   $aMachine Learning in Genome-Wide Association Studies$93040488
997   $aUNINA