Genome Biology

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A consensus prognostic gene expression classifier for ER positive breast cancer

Andrew E Teschendorff*, Ali Naderi, Nuno L Barbosa-Morais, Sarah E Pinder, Ian O Ellis, Sam Aparicio, James D Brenton and Carlos Caldas*

Genome Biology 2006, 7:R101 doi:10.1186/gb-2006-7-10-r101

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BioMed Central: 19 citations

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Prognostic gene network modules in breast cancer hold promise

Andrew E Teschendorff, Yan Jiao, Carlos Caldas Breast Cancer Research 2010, 12:317 (8 December 2010)

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Prediction of breast cancer prognosis using gene set statistics provides signature stability and biological context

Gad Abraham, Adam Kowalczyk, Sherene Loi, Izhak Haviv, Justin Zobel BMC Bioinformatics 2010, 11:277 (25 May 2010)

Research article   Open Access

Survival prediction from clinico-genomic models - a comparative study

Hege M Bøvelstad, Ståle Nygård, Ørnulf Borgan BMC Bioinformatics 2009, 10:413 (13 December 2009)

Research article   Open Access

Intrinsic bias in breast cancer gene expression data sets

Jonathan D Mosley, Ruth A Keri BMC Cancer 2009, 9:214 (29 June 2009)

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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 (16 May 2009)

Editorial   Free

Approaches towards expression profiling the response to treatment

Andrew H Sims, John MS Bartlett Breast Cancer Research 2008, 10:115 (8 December 2008)

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A comprehensive analysis of prognostic signatures reveals the high predictive capacity of the Proliferation, Immune response and RNA splicing modules in breast cancer

Fabien Reyal, Martin H van Vliet, Nicola J Armstrong, Hugo M Horlings, Karin E de Visser, Marlen Kok, Andrew E Teschendorff, Stella Mook, Laura van 't Veer, Carlos Caldas, Remy J Salmon, Marc Vijver, Lodewyk FA Wessels Breast Cancer Research 2008, 10:R93 (13 November 2008)

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Pooling breast cancer datasets has a synergetic effect on classification performance and improves signature stability

Martin H van Vliet, Fabien Reyal, Hugo M Horlings, Marc J van de Vijver, Marcel JT Reinders, Lodewyk FA Wessels BMC Genomics 2008, 9:375 (6 August 2008)

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Meta-analysis of gene expression profiles in breast cancer: toward a unified understanding of breast cancer subtyping and prognosis signatures

Pratyaksha Wirapati, Christos Sotiriou, Susanne Kunkel, Pierre Farmer, Sylvain Pradervand, Benjamin Haibe-Kains, Christine Desmedt, Michail Ignatiadis, Thierry Sengstag, Frédéric Schütz, Darlene R Goldstein, Martine Piccart, Mauro Delorenzi Breast Cancer Research 2008, 10:R65 (28 July 2008)

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Meta-analysis confirms BCL2 is an independent prognostic marker in breast cancer

Grace M Callagy, Mark J Webber, Paul DP Pharoah, Carlos Caldas BMC Cancer 2008, 8:153 (29 May 2008)

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Effects of common germline genetic variation in cell cycle control genes on breast cancer survival: results from a population-based cohort

Elizabeth M Azzato, Kristy E Driver, Fabienne Lesueur, Mitul Shah, David Greenberg, Douglas F Easton, Andrew E Teschendorff, Carlos Caldas, Neil E Caporaso, Paul DP Pharoah Breast Cancer Research 2008, 10:R47 (28 May 2008)

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Cell cycle correlated genes dictate the prognostic power of breast cancer gene lists

Jonathan D Mosley, Ruth A Keri BMC Medical Genomics 2008, 1:11 (25 April 2008)

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Gene expression profiling in primary breast cancer distinguishes patients developing local recurrence after breast-conservation surgery, with or without postoperative radiotherapy

Emma Niméus-Malmström, Morten Krogh, Per Malmström, Carina Strand, Irma Fredriksson, Per Karlsson, Bo Nordenskjöld, Olle Stål, Görel Östberg, Carsten Peterson, Mårten Fernö Breast Cancer Research 2008, 10:R34 (22 April 2008)

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A gene sets approach for identifying prognostic gene signatures for outcome prediction

Seon-Young Kim, Yong Sung Kim BMC Genomics 2008, 9:177 (16 April 2008)

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Merging microarray data from separate breast cancer studies provides a robust prognostic test

Lei Xu, Aik Tan, Raimond L Winslow, Donald Geman BMC Bioinformatics 2008, 9:125 (27 February 2008)

Methodology article   Open Access Highly Accessed

Building pathway clusters from Random Forests classification using class votes

Herbert Pang, Hongyu Zhao BMC Bioinformatics 2008, 9:87 (6 February 2008)

Research   Open Access Highly Accessed

High-resolution aCGH and expression profiling identifies a novel genomic subtype of ER negative breast cancer

Suet F Chin, Andrew E Teschendorff, John C Marioni, Yanzhong Wang, Nuno L Barbosa-Morais, Natalie P Thorne, Jose L Costa, Sarah E Pinder, Mark A van de Wiel, Andrew R Green, Ian O Ellis, Peggy L Porter, Simon Tavaré, James D Brenton, Bauke Ylstra, Carlos Caldas Genome Biology 2007, 8:R215 (7 October 2007)

High resolution array-CGH and expression profiling identifies a novel genomic subtype of ER negative breast cancer, and provides a genome-wide list of common copy number alterations associated with aberrant expression and poor prognosis.

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Integrated analysis of independent gene expression microarray datasets improves the predictability of breast cancer outcome

Zhe Zhang, Dechang Chen, David A Fenstermacher BMC Genomics 2007, 8:331 (20 September 2007)

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An immune response gene expression module identifies a good prognosis subtype in estrogen receptor negative breast cancer

Andrew E Teschendorff, Ahmad Miremadi, Sarah E Pinder, Ian O Ellis, Carlos Caldas Genome Biology 2007, 8:R157 (2 August 2007)

A feature selection method was used in an analysis of three major microarray expression datasets to identify molecular subclasses and prognostic markers in estrogen receptor-negative breast cancer, showing that it is a heterogeneous disease with at least four main subtypes.