Samuel Branders
Samuel Branders
Phd student, ICTEAM, EPL, Université catholique de Louvain
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Phase II study of everolimus in patients with locally advanced or metastatic transitional cell carcinoma of the urothelial tract: clinical activity, molecular response, and …
E Seront, S Rottey, B Sautois, J Kerger, LA D'Hondt, V Verschaeve, ...
Annals of oncology 23 (10), 2663-2670, 2012
A generic cycling hypoxia-derived prognostic gene signature: application to breast cancer profiling
R Boidot, S Branders, T Helleputte, LI Rubio, P Dupont, O Feron
Oncotarget 5 (16), 6947, 2014
Hypoxia integration in the serological proteome analysis unmasks tumor antigens and fosters the identification of anti-phospho-eEF2 antibodies as potential cancer biomarkers
M Grandjean, A Sermeus, S Branders, F Defresne, M Dieu, P Dupont, ...
PloS one 8 (10), e76508, 2013
Independent component analysis to remove batch effects from merged microarray datasets
E Renard, S Branders, PA Absil
International Workshop on Algorithms in Bioinformatics, 281-292, 2016
A balanced hazard ratio for risk group evaluation from survival data
S Branders, P Dupont
Statistics in Medicine 34 (17), 2528-2543, 2015
Regression, classification and feature selection from survival data: modeling of hypoxia conditions for cancer prognosis
S Branders
UCL PhD. Thesis, 2015
A mixture Cox-Logistic model for feature selection from survival and classification data
S Branders, R D'Ambrosio, P Dupont
arXiv preprint arXiv:1502.01493, 2015
Survival Analysis with Cox Regression and Random Non-linear Projections
S Branders, B Frénay, P Dupont
Proceedings of the 23th European Symposium on Artificial Neural Networks …, 2015
Signature of cycling hypoxia and use thereof for the prognosis of cancer
O Feron, S Branders
The Coxlogit model: Feature selection from survival and classification data
S Branders, R D'Ambrosio, P Dupont
2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision …, 2014
Package ‘survcomp’
DE biocViews GeneExpression, VAB Haibe-Kains, M Schroeder, C Olsen, ...
Placebo Modeling: predicting patient pain from personality traits
A Gerlache, V Vandervilt, P Dupont, S Branders
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