S. Branders

A generic cycling hypoxia-derived prognostic gene signature: application to breast cancer profiling

P. Dupont, O. Feron, R. Boidot, 2014, Oncotarget.

Phase II study of everolimus in patients with locally advanced or metastatic transitional cell carcinoma of the urothelial tract: clinical activity, molecular response, and biomarkers.

J. Machiels, J. Canon, B. Sautois, 2012, Annals of oncology : official journal of the European Society for Medical Oncology.

Hypoxia Integration in the Serological Proteome Analysis Unmasks Tumor Antigens and Fosters the Identification of Anti-Phospho-eEF2 Antibodies as Potential Cancer Biomarkers

P. Dupont, M. de Ridder, M. Raes, 2013, PloS one.

Regression, classification and feature selection from survival data : modeling of hypoxia conditions for cancer prognosis

Samuel Branders, S. Branders, 2015 .

Independent Component Analysis to Remove Batch Effects from Merged Microarray Datasets

Pierre-Antoine Absil, Samuel Branders, Emilie Renard, 2016, WABI.

A balanced hazard ratio for risk group evaluation from survival data

P. Dupont, S. Branders, 2015, Statistics in medicine.

Survival Analysis with Cox Regression and Random Non-linear Projections

Benoît Frénay, Pierre Dupont, Samuel Branders, 2015, ESANN.

(171) Characterization and prediction of placebo responders in peripheral neuropathic patients in a 4-week analgesic clinical trial.

C. Dualé, S. Branders, P. Gramme, 2016, The journal of pain : official journal of the American Pain Society.

A mixture Cox-Logistic model for feature selection from survival and classification data pdf

Pierre Dupont, Samuel Branders, Roberto D'Ambrosio, 2015, ArXiv.

The Coxlogit model: Feature selection from survival and classification data

Pierre Dupont, Samuel Branders, Roberto D'Ambrosio, 2014, 2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM).