Assessing gene significance from cDNA microarray expression data via mixed models

Journal of Computational Biology

Volumn 8, Issue 6, 2001, Pages 625-637

  Wolfinger, Russell D ^a   Gibson, Greg ^b   Wolfinger, Elizabeth D ^c   Bennett, Lee ^d   Hamadeh, Hisham ^d   Bushel, Pierre ^d   Afshari, Cynthia ^d   Paules, Richard S ^d  

^a SAS INSTITUTE INC   (United States)

^b NORTH CAROLINA STATE UNIVERSITY   (United States)

^c MEREDITH COLLEGE   (United States)

^d NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES   (United States)

Author keywords

ANOVA; cDNA microarray; Gene expression; Mixed models; Statistical significance

Indexed keywords

ARTICLE; CANCER; CONTROLLED STUDY; DNA MICROARRAY; GENE EXPRESSION; GENETIC MODEL; HUMAN; HUMAN CELL; METHODOLOGY; NONHUMAN; PRIORITY JOURNAL; STATISTICAL ANALYSIS; STATISTICAL MODEL; YEAST;

COMPUTATIONAL BIOLOGY; GENE EXPRESSION PROFILING; GENES, FUNGAL; HUMANS; LYMPHOMA, B-CELL; MODELS, GENETIC; MODELS, STATISTICAL; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; SACCHAROMYCES CEREVISIAE;

EID: 0035687554     PISSN: 10665277     EISSN: None     Source Type: Journal    
DOI: 10.1089/106652701753307520     Document Type: Article

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