Breast Cancer Research

official impact factor 5.79

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Effect of training-sample size and classification difficulty on the accuracy of genomic predictors

Vlad Popovici, Weijie Chen, Brandon D Gallas, Christos Hatzis, Weiwei Shi, Frank W Samuelson, Yuri Nikolsky, Marina Tsyganova, Alex Ishkin, Tatiana Nikolskaya, Kenneth R Hess, Vicente Valero, Daniel Booser, Mauro Delorenzi, Gabriel N Hortobagyi, Leming Shi, W Fraser Symmans and Lajos Pusztai*

Breast Cancer Research 2010, 12:R5 doi:10.1186/bcr2468

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Lack of sufficiently strong informative features limits the potential of gene expression analysis as predictive tool for many clinical classification problems

Kenneth R Hess, Caimiao Wei, Yuan Qi, Takayuki Iwamoto, W Fraser Symmans, Lajos Pusztai BMC Bioinformatics 2011, 12:463 (1 December 2011)

Methodology article   Open Access Highly Accessed

Discovering biological connections between experimental conditions based on common patterns of differential gene expression

Adam C Gower, Avrum Spira, Marc E Lenburg BMC Bioinformatics 2011, 12:381 (27 September 2011)