Iteratively refining breast cancer intrinsic subtypes in the METABRIC dataset

The Discovery of Novel Biomarkers Improves Breast Cancer Intrinsic Subtype Prediction and Reconciles the Labels in the METABRIC Data Set

(2015) Heloisa Helena Milioli et al.   PLoS One

A pathway-based data integration framework for prediction of disease progression

(2013) José A. Seoane et al.   BIOINFORMATICS

Language Individuation and Marker Words: Shakespeare and His Maxwell's Demon

(2013) John Marsden et al.   PLoS One

A Three-Gene Model to Robustly Identify Breast Cancer Molecular Subtypes

(2012) Benjamin Haibe-Kains et al.   JNCI-Journal of the National Cancer Institute

Building prognostic models for breast cancer patients using clinical variables and hundreds of gene expression signatures

(2011) Cheng Fan et al.   BMC Medical Genomics

Most Random Gene Expression Signatures Are Significantly Associated with Breast Cancer Outcome

(2011) David Venet et al.   PLoS Computational Biology

Breast cancer molecular profiling with single sample predictors: a retrospective analysis

(2010) Britta Weigelt et al.   LANCET ONCOLOGY

Supervised Risk Predictor of Breast Cancer Based on Intrinsic Subtypes

(2009) Joel S. Parker et al.   JOURNAL OF CLINICAL ONCOLOGY

Identification of a 5-Protein Biomarker Molecular Signature for Predicting Alzheimer's Disease

(2008) Martín Gómez Ravetti et al.   PLoS One