Principal Variance Components Analysis: Estimating Batch Effects in Microarray Gene Expression Data

Batch Effects and Noise in Microarray Experiments: Sources and Solutions

Volumn , Issue , 2009, Pages 141-154

  Li, Jianying ^a   Bushel, Pierre R ^b   Chu, Tzu Ming ^c   Wolfinger, Russell D ^c  

^a UNIVERSITY OF NORTH CAROLINA   (United States)

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

^c SAS INSTITUTE INC   (United States)

Author keywords

Batch effect; Microarray; Mixed linear model; Principal components analysis; Restricted maximum likelihood; Variance components

Indexed keywords

DESIGN OF EXPERIMENTS; EIGENVALUES AND EIGENFUNCTIONS; GENE EXPRESSION; MAXIMUM LIKELIHOOD ESTIMATION; MICROARRAYS; SUPERVISORY PERSONNEL;

BATCH EFFECT; LINEAR MODELING; PRINCIPAL COMPONENTS ANALYSIS; RESTRICTED MAXIMUM LIKELIHOOD; VARIANCE COMPONENTS;

PRINCIPAL COMPONENT ANALYSIS;

EID: 84954422317     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1002/9780470685983.ch12     Document Type: Chapter

References (0)