Removing batch effects in analysis of expression microarray data: An evaluation of six batch adjustment methods

PLoS ONE

Volumn 6, Issue 2, 2011, Pages

  Chen, Chao ^a,b   Grennan, Kay ^b   Badner, Judith ^b   Zhang, Dandan ^c   Gershon, Elliot ^b   Jin, Li ^a   Liu, Chunyu ^b  

^a FUDAN UNIVERSITY   (China)

^b UNIVERSITY OF CHICAGO   (United States)

^c ZHEJIANG UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ARTICLE; BATCH PROCESS; BAYESIAN LEARNING; CONTROLLED STUDY; CORRELATION ANALYSIS; DATA ANALYSIS; DNA MICROARRAY; DNA PROBE; EVALUATION RESEARCH; GENE EXPRESSION PROFILING; HUMAN; HUMAN TISSUE; MAJOR CLINICAL STUDY; PERFORMANCE MEASUREMENT SYSTEM; STANDARDIZATION; BAYES THEOREM; CASE CONTROL STUDY; EPIDEMIOLOGY; EVALUATION; METHODOLOGY; MICROARRAY ANALYSIS; RECEIVER OPERATING CHARACTERISTIC; SAMPLE SIZE; STANDARD; STATISTICAL ANALYSIS; STATISTICS; VALIDATION STUDY;

BAYES THEOREM; CASE-CONTROL STUDIES; DATA INTERPRETATION, STATISTICAL; GENE EXPRESSION PROFILING; HUMANS; MICROARRAY ANALYSIS; REFERENCE STANDARDS; RESEARCH DESIGN; ROC CURVE; SAMPLE SIZE; SELECTION BIAS; VALIDATION STUDIES AS TOPIC;

EID: 79952230540     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0017238     Document Type: Article

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