Statistical significance of variables driving systematic variation in high-dimensional data

Bioinformatics

Volumn 31, Issue 4, 2015, Pages 545-554

  Chung, Neo Christopher ^a   Storey, John D ^a  

^a PRINCETON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

SACCHAROMYCES CEREVISIAE PROTEIN;

ALGORITHM; COMPUTER SIMULATION; GENE; GENE EXPRESSION PROFILING; GENETIC VARIATION; GENETICS; GENOMICS; HUMAN; INFLAMMATION; MICROARRAY ANALYSIS; PHENOTYPE; POSTTRAUMATIC STRESS DISORDER; PRINCIPAL COMPONENT ANALYSIS; PROCEDURES; SACCHAROMYCES CEREVISIAE; SOFTWARE; STATISTICAL ANALYSIS; STATISTICAL MODEL;

ALGORITHMS; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; GENE EXPRESSION PROFILING; GENES, CDC; GENETIC VARIATION; GENOMICS; HUMANS; INFLAMMATION; MICROARRAY ANALYSIS; MODELS, STATISTICAL; PHENOTYPE; PRINCIPAL COMPONENT ANALYSIS; SACCHAROMYCES CEREVISIAE; SACCHAROMYCES CEREVISIAE PROTEINS; SOFTWARE; STRESS DISORDERS, POST-TRAUMATIC;

EID: 84928983540     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btu674     Document Type: Article

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