Estimating the false discovery rate using nonparametric deconvolution

Biometrics

Volumn 63, Issue 3, 2007, Pages 806-815

  Van De Wiel, Mark A ^a   In Kim, Kyung ^b  

^a VU UNIVERSITY AMSTERDAM   (Netherlands)

^b EINDHOVEN UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

Deconvolution; Differential gene expression; Effect size; FDR

Indexed keywords

DECONVOLUTION; GENE EXPRESSION;

DECONVOLUTIONS; DIFFERENTIAL GENE EXPRESSIONS; DIFFERENTIALLY EXPRESSED GENE; EFFECT SIZE; FALSE DISCOVERY RATE; MICROARRAYS DATA; NON-PARAMETRIC DECONVOLUTION; SELECTION CRITERIA; SIMPLE++; STATISTICAL SIGNIFICANCE;

STATISTICAL TESTS;

DECONVOLUTION; ESTIMATION METHOD; GENE EXPRESSION; PROBABILITY; STATISTICAL ANALYSIS;

ANALYTICAL ERROR; ARTICLE; DATA ANALYSIS; EFFECT SIZE; GENE EXPRESSION; GENETIC SELECTION; MATHEMATICAL MODEL; MICROARRAY ANALYSIS; NULL ALLELE; PARAMETER; PROBABILITY; SIMULATION; STATISTICAL SIGNIFICANCE; STATISTICS; VALIDATION PROCESS;

EID: 34548456099     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2006.00736.x     Document Type: Article

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