Variable selection for noisy data applied in proteomics. - Noura Dridi; Audrey Giremus; Jean-François Giovannelli; Caroline Truntzer; Pascal Roy; L. Gerfaut; Jean-Philippe Charrier; Patrick Ducoroy; Catherine Mercier; Pierre Grangeat (ICASSP, 2014)

Classification of Proteomic MS Data as Bayesian Solution of an Inverse Problem. - Pascal Szacherski; Jean-François Giovannelli; Laurent Gerfault; Pierre Mahé; Jean-Philippe Charrier; Audrey Giremus; Bruno Lacroix; Pierre Grangeat (IEEE Access, 2014)

Bayesian inference for biomarker discovery in proteomics: an analytic solution. - Noura Dridi; Audrey Giremus; Jean-François Giovannelli; Caroline Truntzer; Melita Hadzagic; Jean-Philippe Charrier; Laurent Gerfault; Patrick Ducoroy; Bruno Lacroix; Pierre Grangeat; Pascal Roy (EURASIP J. Bioinform. Syst. Biol., 2017)

Variance component analysis to assess protein quantification in biomarker validation: application to selected reaction monitoring-mass spectrometry. - Amna Klich; Catherine Mercier; Laurent Gerfault; Pierre Grangeat; Corinne Beaulieu; Elodie Degout-Charmette; Tanguy Fortin; Pierre Mahé; Jean-François Giovannelli; Jean-Philippe Charrier; Audrey Giremus; Delphine Maucort-Boulch; et al. (BMC Bioinform., 2018)

Linear MALDI-ToF simultaneous spectrum deconvolution and baseline removal. - Vincent Picaud; Jean-François Giovannelli; Caroline Truntzer; Jean-Philippe Charrier; Audrey Giremus; Pierre Grangeat; Catherine Mercier (BMC Bioinform., 2018)

Multi-proteins similarity-based sampling to select representative genomes from large databases. - Rémi-Vinh Coudert; Jean-Philippe Charrier; Frédéric Jauffrit; Jean-Pierre Flandrois; Céline Brochier-Armanet (BMC Bioinform., 2025)