Microarray-based gene set analysis: A comparison of current methods

BMC Bioinformatics

Volumn 9, Issue , 2008, Pages

  Song, Sarah ^a   Black, Michael A ^b  

^a UNIVERSITY OF AUCKLAND   (New Zealand)

^b UNIVERSITY OF OTAGO   (New Zealand)

Author keywords

[No Author keywords available]

Indexed keywords

BETTER PERFORMANCE; BIOLOGICAL INFORMATION; CORRELATION STRUCTURE; MICROARRAY ANALYSIS; MICROARRAY DATA SETS; PERFORMANCE CHARACTERISTICS; POTENTIAL UTILITY; REPRODUCIBILITIES;

STATISTICAL TESTS;

GENES;

ACUTE GRANULOCYTIC LEUKEMIA; ACUTE LYMPHOBLASTIC LEUKEMIA; ARTICLE; BIOINFORMATICS; CONTROLLED STUDY; DATA ANALYSIS; GENE EXPRESSION; GENE IDENTIFICATION; GENETIC ANALYSIS; GENETIC CORRELATION; HUMAN; INTERMETHOD COMPARISON; MICROARRAY ANALYSIS; MUSCLE BIOPSY; NON INSULIN DEPENDENT DIABETES MELLITUS; SIGNAL TRANSDUCTION; SIMULATION; SKELETAL MUSCLE; UNIVARIATE ANALYSIS; ALGORITHM; COMPARATIVE STUDY; COMPUTER SIMULATION; DNA MICROARRAY; GENE EXPRESSION PROFILING; METHODOLOGY; MULTIVARIATE ANALYSIS; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; COMPUTER SIMULATION; GENE EXPRESSION; GENE EXPRESSION PROFILING; MULTIVARIATE ANALYSIS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; SENSITIVITY AND SPECIFICITY;

EID: 58049141153     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-9-502     Document Type: Article

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