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Effects of sample size on robustness and prediction accuracy of a prognostic gene signature

Seon-Young Kim

BMC Bioinformatics 2009, 10:147 doi:10.1186/1471-2105-10-147

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Predicting sample size required for classification performance

Rosa L Figueroa, Qing Zeng-Treitler , Sasikiran Kandula, Long H Ngo BMC Medical Informatics and Decision Making 2012, 12:8 (15 February 2012)

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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)

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Gene expression and network-based analysis reveals a novel role for hsa-miR-9 and drug control over the p38 network in glioblastoma multiforme progression

Rotem Ben-Hamo, Sol Efroni Genome Medicine 2011, 3:77 (28 November 2011)

Abstract | Full text | PDF | PubMed |  Editor’s summary

Network-based analysis of gene expression data reveals a role for the p38 network and affiliated hsa-miR-9 in glioblastoma multiforme progression, implicating new biomarkers for predicting survival.

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