BMC Medical Genomics

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Gene expression analysis of glioblastomas identifies the major molecular basis for the prognostic benefit of younger age

Yohan Lee, Adrienne C Scheck, Timothy F Cloughesy, Albert Lai, Jun Dong, Haumith K Farooqi, Linda M Liau, Steve Horvath, Paul S Mischel and Stanley F Nelson*

BMC Medical Genomics 2008, 1:52 doi:10.1186/1755-8794-1-52

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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)

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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Correlating measurements across samples improves accuracy of large-scale expression profile experiments

Mariano Alvarez, Pavel Sumazin, Presha Rajbhandari, Andrea Califano Genome Biology 2009, 10:R143 (30 December 2009)

Cleaner is a method for removing uninformative and flawed probes from microarray experiment data, thus improving reproducibility between replicate experiments.

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Weighted gene co-expression network analysis of the peripheral blood from Amyotrophic Lateral Sclerosis patients

Christiaan GJ Saris, Steve Horvath, Paul WJ van Vught, Michael A van Es, Hylke M Blauw, Tova F Fuller, Peter Langfelder, Joseph DeYoung, John HJ Wokke, Jan H Veldink, Leonard H van den Berg, Roel A Ophoff BMC Genomics 2009, 10:405 (27 August 2009)