9:
Comparison of seven methods for producing Affymetrix expression scores based on False Discovery Rates in disease profiling data.
Shedden K, Chen W, Kuick R, Ghosh D, Macdonald J, Cho KR, Giordano TJ, Gruber SB, Fearon ER, Taylor JM, Hanash S.
BMC Bioinformatics. 2005 Feb 10;6:26.
PMID: 15705192 [PubMed - indexed for MEDLINE]
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The Global Error Assessment (GEA) model for the selection of differentially expressed genes in microarray data.
Mansourian R, Mutch DM, Antille N, Aubert J, Fogel P, Le Goff JM, Moulin J, Petrov A, Rytz A, Voegel JJ, Roberts MA.
Bioinformatics. 2004 Nov 1;20(16):2726-37. Epub 2004 May 14.
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