Logistic principal component analysis for rare variants in gene-environment interaction analysis

IEEE/ACM Transactions on Computational Biology and Bioinformatics

Volumn 11, Issue 6, 2014, Pages 1020-1028

  Lu, Meng ^a   Lee, Hye Seung ^b   Hadley, David ^b   Huang, Jianhua Z ^c   Qian, Xiaoning ^a  

^a Department of Electrical and Computer Engineering   (United States)

^b UNIVERSITY OF SOUTH FLORIDA   (United States)

^c TEXAS A AND M UNIVERSITY   (United States)

Author keywords

Aggregated statistics; Gene environment interaction analysis; Logistic PCA; Rare variants

Indexed keywords

AGGREGATES; ASSOCIATION REACTIONS; GENES; REGRESSION ANALYSIS; STATISTICS;

ASSOCIATION ANALYSIS; DATA REPRESENTATIONS; ENVIRONMENTAL FACTORS; GENE-ENVIRONMENT INTERACTION; GENOME-WIDE ASSOCIATION STUDIES; LINEAR COMBINATIONS; RARE VARIANTS; SINGLE NUCLEOTIDE POLYMORPHISMS;

PRINCIPAL COMPONENT ANALYSIS;

BIOLOGICAL MODEL; BIOLOGY; COMPUTER SIMULATION; GENETICS; GENOTYPE ENVIRONMENT INTERACTION; PRINCIPAL COMPONENT ANALYSIS; PROCEDURES; SINGLE NUCLEOTIDE POLYMORPHISM;

COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; GENE-ENVIRONMENT INTERACTION; MODELS, GENETIC; POLYMORPHISM, SINGLE NUCLEOTIDE; PRINCIPAL COMPONENT ANALYSIS;

EID: 84919486632     PISSN: 15455963     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCBB.2014.2322371     Document Type: Article

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