The SVA package for removing batch effects and other unwanted variation in high-throughput experiments

Bioinformatics

Volumn 28, Issue 6, 2012, Pages 882-883

  Leek, Jeffrey T ^a   Johnson, W Evan ^b   Parker, Hilary S ^a   Jaffe, Andrew E ^a   Storey, John D ^c  

^a JOHNS HOPKINS BLOOMBERG SCHOOL OF PUBLIC HEALTH   (United States)

^b BOSTON UNIVERSITY   (United States)

^c PRINCETON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BLADDER TUMOR; COMPUTER PROGRAM; GENE EXPRESSION PROFILING; GENETICS; GENOMICS; HIGH THROUGHPUT SEQUENCING; HUMAN; REGRESSION ANALYSIS;

GENE EXPRESSION PROFILING; GENOMICS; HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; HUMANS; REGRESSION ANALYSIS; SOFTWARE; URINARY BLADDER NEOPLASMS;

EID: 84859098571     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/bts034     Document Type: Article

References (10)

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