Performance of random forest when SNPs are in linkage disequilibrium

BMC Bioinformatics

Volumn 10, Issue , 2009, Pages

  Meng, Yan A ^a,c,d   Yu, Yi ^a   Cupples, L Adrienne ^b   Farrer, Lindsay A ^a,b   Lunetta, Kathryn L ^b  

^a BOSTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b BOSTON UNIVERSITY   (United States)

^c MASSACHUSETTS GENERAL HOSPITAL   (United States)

^d MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CANDIDATE GENES; GENOME-WIDE ASSOCIATION STUDIES; IMPORTANCE MEASURE; INDIRECT ASSOCIATION; LINKAGE DISEQUILIBRIUM; RANDOM FOREST METHODS; SINGLE NUCLEOTIDE POLYMORPHISMS; VARIABLE IMPORTANCES;

COMPUTER SIMULATION; FORESTRY; RISK ASSESSMENT; TREES (MATHEMATICS);

DECISION TREES;

ALZHEIMER DISEASE; ARTICLE; COMPUTER SIMULATION; CONTROLLED STUDY; GENE LINKAGE DISEQUILIBRIUM; GENETIC ASSOCIATION; GENETIC HETEROGENEITY; GENETIC MODEL; GENETIC RISK; GENOMICS; GENOTYPE; HAPLOTYPE; RANDOM FOREST; SINGLE NUCLEOTIDE POLYMORPHISM; ALGORITHM; BIOLOGICAL MODEL; GENETICS;

ALGORITHMS; ALZHEIMER DISEASE; COMPUTER SIMULATION; GENOME-WIDE ASSOCIATION STUDY; HAPLOTYPES; LINKAGE DISEQUILIBRIUM; MODELS, GENETIC; POLYMORPHISM, SINGLE NUCLEOTIDE;

EID: 64549095229     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-10-78     Document Type: Article

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