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Expression profiling to predict outcome in breast cancer: the influence of sample selection.
Gruvberger SK, Ringnér M, Edén P, Borg A, Fernö M, Peterson C, Meltzer PS
Breast Cancer Res 2003, 5:23-6
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BioMed Central articles that cite the above article:

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Research article    
Intrinsic bias in breast cancer gene expression data sets
Mosley JD, Keri RA
BMC Cancer 2009, 9:214 (29 June 2009)
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Integrated analysis of independent gene expression microarray datasets improves the predictability of breast cancer outcome
Zhang Z, Chen D, Fenstermacher DA
BMC Genomics 2007, 8:331 (20 September 2007)
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Basal-like phenotype is not associated with patient survival in estrogen-receptor-negative breast cancers
Jumppanen M, Gruvberger-Saal S, Kauraniemi P, Tanner M, Bendahl PO, Lundin M, Krogh M, Kataja P, Borg , Fernö M, Isola J
Breast Cancer Research 2007, 9:R16 (31 January 2007)
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Viewpoint    
Microarray technology and its effect on breast cancer (re)classification and prediction of outcome
Cardoso F
Breast Cancer Res 2003, 5:303-304 (9 October 2003)
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Letter    
Expression profiling predicts outcome in breast cancer
van 't Veer LJ, Dai H, van de Vijver MJ, He YD, Hart AAM, Bernards R, Friend SH
Breast Cancer Res 2003, 5:57-58 (4 December 2002)
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