A novel means of using gene clusters in a two-step empirical Bayes method for predicting classes of samples

Bioinformatics

Volumn 21, Issue 7, 2005, Pages 1055-1061

  Ji, Yuan ^a   Tsui, Kam Wah ^b   Kim, KyungMann ^b  

^a UNIVERSITY OF TEXAS   (United States)

^b UNIVERSITY OF WISCONSIN MADISON   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPLEMENTARY DNA;

ACUTE GRANULOCYTIC LEUKEMIA; ACUTE LYMPHOBLASTIC LEUKEMIA; ANALYTIC METHOD; ARTICLE; BAYES THEOREM; CANCER GENETICS; CANCER RESEARCH; CLASSIFICATION; CLUSTER ANALYSIS; DNA MICROARRAY; GENE CLUSTER; GENE EXPRESSION PROFILING; GENETIC ALGORITHM; HUMAN; MATHEMATICAL COMPUTING; PRIORITY JOURNAL; PROBABILITY; SCORING SYSTEM; STATISTICAL ANALYSIS; STATISTICAL MODEL; VALIDATION PROCESS;

EID: 16344395483     PISSN: 13674803     EISSN: 13674811     Source Type: Journal    
DOI: 10.1093/bioinformatics/bti092     Document Type: Article

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