A nonparametric approach to detect nonlinear correlation in gene expression

Journal of Computational and Graphical Statistics

Volumn 19, Issue 3, 2010, Pages 552-568

  Chen, Y Ann ^a   Almeida, Jonas S ^b   Richards, Adam J ^c   Müller, Peter ^b   Carroll, Raymond J ^d   Rohrer, Baerbel ^c  

^a H LEE MOFFITT CANCER CENTER AND RESEARCH INSTITUTE   (United States)

^b UNIVERSITY OF TEXAS   (United States)

^c MEDICAL UNIVERSITY OF SOUTH CAROLINA   (United States)

^d TEXAS A AND M UNIVERSITY   (United States)

Author keywords

Local correlation; Microarray gene expression; Nonlinear correlation; Nonparametric

Indexed keywords

EID: 77956692752     PISSN: 10618600     EISSN: None     Source Type: Journal    
DOI: 10.1198/jcgs.2010.08160     Document Type: Article

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