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Communications in Statistics - Theory and Methods Volume 37, 2008 - Issue 18
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STATISTICS IN GENETICS

A Statistical Procedure for Detecting Highly Correlated Genes with a Pre-Specified Candidate Gene in Microarray Analysis

Aidong Adam Ding Department of Mathematics, Northeastern University, Boston, Massachusetts, USACorrespondence[email protected]
,
Jennifer Lin Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
&
Tianhua Niu Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA; Department of Epidemiology, Harvard School of Public Health, Massachusetts, USACorrespondence[email protected]
Pages 2991-3007 | Received 20 Aug 2007, Accepted 16 Jan 2008, Published online: 31 Jul 2008

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Ahmed Hossain, AndrewR. Willan & Joseph Beyene. (2013) An Improved Method on Wilcoxon Rank Sum Test for Gene Selection from Microarray Experiments. Communications in Statistics - Simulation and Computation 42:7, pages 1563-1577.
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AHMED HOSSAIN, ANDREW R. WILLAN & JOSEPH BEYENE. (2013) A FLEXIBLE NONPARAMETRIC APPROACH TO FIND CANDIDATE GENES ASSOCIATED WITH DISEASE IN MICROARRAY EXPERIMENTS. Journal of Bioinformatics and Computational Biology 11:02, pages 1250021.
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