A statistical method for flagging weak spots improves normalization and ratio estimates in microarrays

Physiological Genomics

Volumn 2002, Issue 7, 2002, Pages 45-53

  Yang, M C K ^a   Ruan, Q G ^b   Yang, J J ^a   Eckenrode, S ^b   Wu, S ^a   McIndoe, R A ^b   She, J X ^b  

^a University of Florida ^*  (United States)

^b UNIVERSITY OF FLORIDA COLLEGE OF MEDICINE   (United States)

Author keywords

Functional genomics; Gene expression; Microarray; Normalization; Statistics

Indexed keywords

ANIMAL; ARTICLE; BAYES THEOREM; COMPUTER SIMULATION; DNA MICROARRAY; GENE EXPRESSION PROFILING; GENETICS; METHODOLOGY; MOUSE; NONOBESE DIABETIC MOUSE; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STANDARD; STATISTICAL MODEL;

ANIMALS; BAYES THEOREM; COMPUTER SIMULATION; GENE EXPRESSION PROFILING; MICE; MICE, INBRED NOD; MODELS, STATISTICAL; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 0035841226     PISSN: 15312267     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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