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Wessels LF, van Vliet MH, Horlings HM, van den vijver MJ, Reinders MJ. Integration of Clinical and Gene Expression Data Has a Synergetic Effect on Predicting Breast Cancer Outcome. PLOS ONE. 2012;7(7).
Horlings HM, Lai C, Nuyten DS, Halfwerk H, Kristel P, van Beers EH, et al. Integration of DNA copy number alterations and prognostic gene expression signatures in breast cancer patients. Clin Cancer Res. 2010;16(2):651-63.
Joosse SA, van Beers EH, Tielen IH, Horlings HM, Peterse JL, Hoogerbrugge N, et al. Prediction of {BRCA1-association} in hereditary {non-BRCA1/2} breast carcinomas with {array-CGH}. Breast Cancer Research and Treatment. 2009;116:479-89.
Pietersen AM, Horlings HM, Hauptmann M, Langerød A, Ajouaou A, Cornelissen-Steijger P, et al. {EZH2} and {BMI1} inversely correlate with prognosis and {TP53} mutation in breast cancer. Breast Cancer Research: BCR. 2008;10:R109.
Reyal F, van Vliet MH, Armstrong N, Horlings HM, de Visser K, Kok M, et al. A comprehensive analysis of prognostic signatures reveals the high predictive capacity of Proliferation, Immune response and RNA splicing modules in breast cancer. Breast Cancer Res. 2008;10:R93.
Weigelt B, Horlings HM, Kreike B, Hayes MM, Hauptmann M, Wessels LF, et al. Refinement of breast cancer classification by molecular characterization of histological special types. The Journal of Pathology. 2008;216:141-50.
van Vliet MH, Reyal F, Horlings HM, van de Vijver MJ, Reinders MJ, Wessels LF. Pooling breast cancer datasets has a synergetic effect on classification performance and improves signature stability. BMC Genomics. 2008;9:375.
Lai C, Horlings HM, van de Vijver MJ, van Beers EH, Nederlof PM, Wessels LF, et al. SIRAC: Supervised Identification of Regions of Aberration in aCGH datasets. BMC Bioinformatics. 2007;8.