Methodology article  

DART: Denoising Algorithm based on Relevance network Topology improves molecular pathway activity inference

Yan Jiao, Katherine Lawler, Gargi S Patel, Arnie Purushotham, Annette F Jones, Anita Grigoriadis, Andrew Tutt, Tony Ng, Andrew E Teschendorff BMC Bioinformatics 2011, 12:403 (19 October 2011)

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Proceedings  

Bayesian non-negative factor analysis for reconstructing transcription factor mediated regulatory networks

Jia Meng, Jianqiu (Michelle) Zhang, Yidong Chen, Yufei Huang Proteome Science 2011, 9(Suppl 1):S9 (14 October 2011)

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Research article  

A new gene expression signature, the ClinicoMolecular Triad Classification, may improve prediction and prognostication of breast cancer at the time of diagnosis

Dong-Yu Wang, Susan J Done, David R McCready, Scott Boerner, Supriya Kulkarni, Wey Leong Breast Cancer Research 2011, 13:R92 (22 September 2011)

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Method  

A fuzzy gene expression-based computational approach improves breast cancer prognostication

Benjamin Haibe-Kains, Christine Desmedt, Françoise Rothé, Martine Piccart, Christos Sotiriou, Gianluca Bontempi Genome Biology 2010, 11:R18 (15 February 2010)

Abstract | Full text | PDF | PubMed | Cited on BioMed Central |  Editor’s summary

Research article  

An integration of complementary strategies for gene-expression analysis to reveal novel therapeutic opportunities for breast cancer

Andrea H Bild, Joel S Parker, Adam M Gustafson, Chaitanya R Acharya, Katherine A Hoadley, Carey Anders, P Kelly Marcom, Lisa A Carey, Anil Potti, Joseph R Nevins, Charles M Perou Breast Cancer Research 2009, 11:R55 (28 July 2009)

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Research article  

Y-box binding protein-1 serine 102 is a downstream target of p90 ribosomal S6 kinase in basal-like breast cancer cells

Anna L Stratford, Christopher J Fry, Curtis Desilets, Alastair H Davies, Yong Y Cho, Yvonne Li, Zigang Dong, Isabelle M Berquin, Philippe P Roux, Sandra E Dunn Breast Cancer Research 2008, 10:R99 (27 November 2008)

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Review  

Unlocking the power of cross-species genomic analyses: identification of evolutionarily conserved breast cancer networks and validation of preclinical models

Christina N Bennett, Jeffrey E Green Breast Cancer Research 2008, 10:213 (11 September 2008)

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Research article  

A robust classifier of high predictive value to identify good prognosis patients in ER-negative breast cancer

Andrew E Teschendorff, Carlos Caldas Breast Cancer Research 2008, 10:R73 (28 August 2008)

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