A ν-support vector regression based approach for predicting imputation quality

BMC Proceedings

Volumn 6, Issue , 2012, Pages

  Huang, Yi Hung ^a,b   Rice, John P ^c   Saccone, Scott F ^c   Ambite, José Luis ^d   Arens, Yigal ^d   Tischfield, Jay A ^e   Hsu, Chun Nan ^a,d  

^a INSTITUTE OF INFORMATION SCIENCE   (Taiwan)

^b NATIONAL TAIWAN UNIVERSITY   (Taiwan)

^c WASHINGTON UNIVERSITY   (United States)

^d UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

^e RUTGERS UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALLELE; CONFERENCE PAPER; DATA ANALYSIS SOFTWARE; ETHNIC GROUP; FALSE POSITIVE RESULT; GENE FREQUENCY; GENE LOCUS; GENETIC CORRELATION; GENETIC DISTANCE; GENETIC PARAMETERS; GENOME-WIDE ASSOCIATION STUDY; HUMAN; IMPUTATION QUALITY SCORE; PREDICTION; RELIABILITY; SECONDARY ANALYSIS; STATISTICAL MODEL; SUPPORT VECTOR MACHINE;

EID: 85018510195     PISSN: None     EISSN: 17536561     Source Type: Journal    
DOI: 10.1186/1753-6561-6-S7-S3     Document Type: Conference Paper

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