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The LeFE algorithm: embracing the complexity of gene expression in the interpretation of microarray data

Gabriel S Eichler, Mark Reimers, David Kane and John N Weinstein*

Genome Biology 2007, 8:R187 doi:10.1186/gb-2007-8-9-r187

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Identification of functional modules that correlate with phenotypic difference: the influence of network topology

Jui-Hung Hung, Troy W Whitfield, Tun-Hsiang Yang, Zhenjun Hu, Zhiping Weng, Charles DeLisi Genome Biology 2010, 11:R23 (26 February 2010)

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

A gene set enrichment analysis method for including network topology in the identification of genes involved in phenotypic alterations is described. Classifications: Genome studies, Methods

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Gene expression meta-analysis supports existence of molecular apocrine breast cancer with a role for androgen receptor and implies interactions with ErbB family

Sandeep Sanga, Bradley M Broom, Vittorio Cristini, Mary E Edgerton BMC Medical Genomics 2009, 2:59 (11 September 2009)

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Identification of a gene signature in cell cycle pathway for breast cancer prognosis using gene expression profiling data

Jiangang Liu, Andrew Campen, Shuguang Huang, Sheng-Bin Peng, Xiang Ye, Mathew Palakal, A Keith Dunker, Yuni Xia, Shuyu Li BMC Medical Genomics 2008, 1:39 (11 September 2008)

Abstract | Full text | PDF | PubMed | Cited on BioMed Central

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