A model-based scan statistic for identifying extreme chromosomal regions of gene expression in human tumors

Bioinformatics

Volumn 21, Issue 12, 2005, Pages 2867-2874

  Levin, Albert M ^a,b   Ghosh, Debashis ^a   Cho, Kathleen R ^b   Kardia, Sharon L R ^a  

^a UNIVERSITY OF MICHIGAN SCHOOL OF PUBLIC HEALTH   (United States)

^b UNIVERSITY OF MICHIGAN MEDICAL SCHOOL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ARTICLE; BIOINFORMATICS; BREAST CANCER; CANCER RESEARCH; CHROMOSOME ANALYSIS; CLUSTER ANALYSIS; GENE AMPLIFICATION; GENE EXPRESSION; GENE IDENTIFICATION; GENETIC ANALYSIS; GENETIC DATABASE; GENETIC VARIABILITY; HUMAN; LOGISTIC REGRESSION ANALYSIS; MATHEMATICAL COMPUTING; POISSON DISTRIBUTION; PREDICTION; PRIORITY JOURNAL; STATISTICAL ANALYSIS; STATISTICAL MODEL; VALIDATION PROCESS;

EID: 20844454367     PISSN: 13674803     EISSN: 13674811     Source Type: Journal    
DOI: 10.1093/bioinformatics/bti417     Document Type: Article

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