A mixture model-based strategy for selecting sets of genes in multiclass response microarray experiments

Bioinformatics

Volumn 20, Issue 16, 2004, Pages 2562-2571

  Broët, Philippe ^a,c   Lewin, Alex ^b   Richardson, Sylvia ^b   Dalmasso, Cyril ^a,c   Magdelenat, Henri ^c  

^a INSERM   (France)

^b IMPERIAL COLLEGE LONDON   (United Kingdom)

^c INSTITUT CURIE   (France)

Author keywords

[No Author keywords available]

Indexed keywords

BRCA1 PROTEIN; BRCA2 PROTEIN; COMPLEMENTARY DNA;

ACCURACY; ARTICLE; BREAST CANCER; CELL CYCLE; CONTROLLED STUDY; DNA MICROARRAY; EXPRESSED SEQUENCE TAG; GENE EXPRESSION; GENE EXPRESSION PROFILING; GENETIC ANALYSIS; GENETIC SELECTION; HUMAN; HYPOTHESIS; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; PRIORITY JOURNAL; PROBABILITY; REVERSE TRANSCRIPTION POLYMERASE CHAIN REACTION; SIMULATION; STATISTICAL ANALYSIS;

EID: 8844236882     PISSN: 13674803     EISSN: 13674811     Source Type: Journal    
DOI: 10.1093/bioinformatics/bth285     Document Type: Article

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