An Information-Theoretic Machine Learning Approach to Expression QTL Analysis

PLoS ONE

Volumn 8, Issue 6, 2013, Pages

  Huang, Tao ^b   Cai, Yu Dong ^a  

^a SHANGHAI UNIVERSITY   (China)

^b MOUNT SINAI SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANALYTIC METHOD; ANIMAL EXPERIMENT; ARTICLE; CALCULATION; CONTROLLED STUDY; FEMALE; GENE EXPRESSION; GENE FREQUENCY; GENETIC MARKER; GENOTYPE; HETEROZYGOSITY; HOMOZYGOSITY; INCREMENTAL FEATURE SELECTION; INFORMATION PROCESSING; INFORMATION RETRIEVAL; INTERMETHOD COMPARISON; MACHINE LEARNING; MALE; MAXIMUM RELEVANCE MINIMUM REDUNDANCY; MOUSE; NONHUMAN; QUANTITATIVE TRAIT LOCUS; SIMULATION; SINGLE NUCLEOTIDE POLYMORPHISM;

ANIMALS; ARTIFICIAL INTELLIGENCE; FEMALE; GENE EXPRESSION REGULATION; INFORMATION THEORY; MALE; MICE; POLYMORPHISM, SINGLE NUCLEOTIDE; QUANTITATIVE TRAIT LOCI;

MUS;

EID: 84879386452     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0067899     Document Type: Article

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