Combining multiple hypothesis testing with machine learning increases the statistical power of genome-wide association studies

Scientific Reports

Volumn 6, Issue , 2016, Pages

  Mieth, Bettina ^a   Kloft, Marius ^b   Rodríguez, Juan Antonio ^c   Sonnenburg, Sören ^d   Vobruba, Robin ^a   Morcillo Suárez, Carlos ^c   Farré, Xavier ^c   Marigorta, Urko M ^e   Fehr, Ernst ^f   Dickhaus, Thorsten ^g   Blanchard, Gilles ^h   Schunk, Daniel ⁱ   Navarro, Arcadi ^c,j,k   Müller, Klaus Robert ^a,l  

^a TECHNISCHE UNIVERSITÄT BERLIN   (Germany)

^b HUMBOLDT UNIVERSITY   (Germany)

^c UNIVERSITAT POMPEU FABRA   (Spain)

^d TomTom Research ^*  (Germany)

^e GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

^f UNIVERSITY OF ZURICH   (Switzerland)

^g UNIVERSITY OF BREMEN   (Germany)

^h UNIVERSITY OF POTSDAM   (Germany)

ⁱ JOHANNES GUTENBERG UNIVERSITY   (Germany)

^j INSTITUCIÓ CATALANA DE RECERCA I ESTUDIS AVANÇATS ICREA   (Spain)

^k BARCELONA INSTITUTE OF SCIENCE AND TECHNOLOGY   (Spain)

^l Korea University   (South Korea)

more..

Author keywords

[No Author keywords available]

Indexed keywords

GENOME-WIDE ASSOCIATION STUDY; MACHINE LEARNING; STATISTICAL SIGNIFICANCE;

EID: 84999740191     PISSN: None     EISSN: 20452322     Source Type: Journal    
DOI: 10.1038/srep36671     Document Type: Article

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