False discovery rate, sensitivity and sample size for microarray studies. - Yudi Pawitan; Stefan Michiels; Serge Koscielny; Arief Gusnanto; Alexander Ploner (Bioinform., 2005)

Bias in the estimation of false discovery rate in microarray studies. - Yudi Pawitan; Karuturi R. Krishna Murthy; Stefan Michiels; Alexander Ploner (Bioinform., 2005)

A Dual Model for Prioritizing Cancer Mutations in the Non-coding Genome Based on Germline and Somatic Events. - Jia Li 007; Marie-Anne Poursat; Damien Drubay; Arnaud Motz; Zohra Saci; Antonin Morillon; Stefan Michiels; Daniel Gautheret (PLoS Comput. Biol., 2015)

A benchmark study of scoring methods for non-coding mutations. - Damien Drubay; Daniel Gautheret; Stefan Michiels (Bioinform., 2018)

biospear: an R package for biomarker selection in penalized Cox regression. - Nils Ternès; Federico Rotolo; Stefan Michiels (Bioinform., 2018)

Evaluation of Treatment Effect with Paired Failure Times in a Single-Arm Phase II Trial in Oncology. - Matthieu Texier; Federico Rotolo; Michel Ducreux; Olivier Boucher; Jean-Pierre Pignon; Stefan Michiels (Comput. Math. Methods Medicine, 2018)

surrosurv: An R package for the evaluation of failure time surrogate endpoints in individual patient data meta-analyses of randomized clinical trials. - Federico Rotolo; Xavier Paoletti; Stefan Michiels (Comput. Methods Programs Biomed., 2018)

On the Use of Neural Networks with Censored Time-to-Event Data. - Elvire Roblin; Paul-Henry Cournède; Stefan Michiels (ISMCO, 2020)

Self-supervised Nuclei Segmentation in Histopathological Images Using Attention. - Mihir Sahasrabudhe; Stergios Christodoulidis; Roberto Salgado; Stefan Michiels; Sherene Loi; Fabrice André; Nikos Paragios; Maria Vakalopoulou (MICCAI (5), 2020)

Integrating expert's knowledge constraint of time dependent exposures in structure learning for Bayesian networks. - Vahé Asvatourian; Philippe Leray 001; Stefan Michiels; Emilie Lanoy (Artif. Intell. Medicine, 2020)

Accounting for grouped predictor variables or pathways in high-dimensional penalized Cox regression models. - Shaima Belhechmi; Riccardo De Bin; Federico Rotolo; Stefan Michiels (BMC Bioinform., 2020)

Hyper-AdaC: Adaptive clustering-based hypergraph representation of whole slide images for survival analysis. - Hakim Benkirane; Maria Vakalopoulou; Stergios Christodoulidis; Ingrid-Judith Garberis; Stefan Michiels; Paul-Henry Cournède (ML4H@NeurIPS, 2022)

A non-parametric Bayesian joint model for latent individual molecular profiles and survival in oncology. - Sarah-Laure Rincourt; Stefan Michiels; Damien Drubay (J. Bioinform. Comput. Biol., 2022)

CustOmics: A versatile deep-learning based strategy for multi-omics integration. - Hakim Benkirane; Yoann Pradat; Stefan Michiels; Paul-Henry Cournède (PLoS Comput. Biol., 2023)

Favoring the hierarchical constraint in penalized survival models for randomized trials in precision medicine. - Shaima Belhechmi; Gwénaël Le Teuff; Riccardo De Bin; Federico Rotolo; Stefan Michiels (BMC Bioinform., 2023)