Linear mixed model selection for false discovery rate control in microarray data analysis

Biometrics

Volumn 66, Issue 2, 2010, Pages 621-629

  Demirkale, Cumhur Yusuf ^a   Nettleton, Dan ^a   Maiti, Tapabrata ^b  

^a Department of Statistics Center for Statistics and Applications in Forensic Evidence Iowa State University 2438 Osborn Dr Ames   (United States)

^b MICHIGAN STATE UNIVERSITY   (United States)

Author keywords

Analysis of variance; Method of moments; Multiple testing; Restricted maximum likelihood; SAS; Variance component estimation

Indexed keywords

DESIGN OF EXPERIMENTS; GENE EXPRESSION; MAXIMUM LIKELIHOOD ESTIMATION; RANDOM PROCESSES; STATISTICAL TESTS;

ANALYSE OF VARIANCE; FALSE DISCOVERY RATE; LINEAR MIXED MODELS; MICROARRAY DATA ANALYSIS; MODEL SELECTION; MULTIPLE TESTING; RATE CONTROLS; RESTRICTED MAXIMUM LIKELIHOOD; SAS; VARIANCE COMPONENT ESTIMATION;

METHOD OF MOMENTS;

ESTIMATION METHOD; EXPERIMENTAL DESIGN; GENE EXPRESSION; LINEARITY; VARIANCE ANALYSIS;

ARTIFACT; DNA MICROARRAY; GENE; GENE EXPRESSION PROFILING; PROCEDURES; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA;

ARTIFACTS; GENE EXPRESSION PROFILING; GENES; LINEAR MODELS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS;

EID: 77952968758     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2009.01286.x     Document Type: Article

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