Discovering tightly regulated and differentially expressed gene sets in whole genome expression data

Bioinformatics

Volumn 23, Issue 2, 2007, Pages

  Ye, Chun ^a   Eskin, Eleazar ^b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ORGANIC ANION TRANSPORTER; VASCULOTROPIN;

ALZHEIMER DISEASE; BIOINFORMATICS; CARBON FIXATION; CARBON METABOLISM; CELL INTERACTION; CONFERENCE PAPER; DATA ANALYSIS SOFTWARE; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; GENETIC ANALYSIS; GENETIC ASSOCIATION; GENETIC CORRELATION; GENETIC DIFFERENCE; GENETIC IDENTIFICATION; GENETIC VARIABILITY; GENOMICS; GLUCONEOGENESIS; GLUCOSE METABOLISM; GLYCOGEN METABOLISM; GLYCOLYSIS; HUMAN; MATHEMATICAL ANALYSIS; NON INSULIN DEPENDENT DIABETES MELLITUS; NONHUMAN; NUCLEOTIDE SEQUENCE; NULL HYPOTHESIS; OXIDATIVE PHOSPHORYLATION; PHENOTYPE; PRIORITY JOURNAL; PROTEIN DEGRADATION; PROTEIN PROTEIN INTERACTION; RANK SUM TEST; RESPIRATORY CHAIN; SCORING SYSTEM; SIGNAL TRANSDUCTION; STATISTICAL ANALYSIS;

MURINAE;

EID: 33846669543     PISSN: 13674803     EISSN: 13674811     Source Type: Journal    
DOI: 10.1093/bioinformatics/btl315     Document Type: Conference Paper

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