Predictor correlation impacts machine learning algorithms: Implications for genomic studies

Bioinformatics

Volumn 25, Issue 15, 2009, Pages 1884-1890

  Nicodemus, Kristin K ^a,b,c   Malley, James D ^d  

^a UNIVERSITY OF OXFORD   (United Kingdom)

^b UNIVERSITY OF OXFORD   (United Kingdom)

^c NATIONAL INSTITUTE OF MENTAL HEALTH   (United States)

^d NATIONAL INSTITUTES OF HEALTH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; COMPUTER PREDICTION; COMPUTER SIMULATION; CONTROLLED STUDY; EFFECT SIZE; GENE LINKAGE DISEQUILIBRIUM; GENOMICS; LEARNING ALGORITHM; MACHINE LEARNING; MONTE CARLO METHOD; PRIORITY JOURNAL; RANDOM FOREST; SINGLE NUCLEOTIDE POLYMORPHISM;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; GENOME; GENOME-WIDE ASSOCIATION STUDY; GENOMICS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PHENOTYPE; POLYMORPHISM, SINGLE NUCLEOTIDE;

EID: 67650770061     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btp331     Document Type: Article

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