[preprint] Nicolas Homberg, Lucie Lamothe, Elise Amblard, Hugo Barbot, Morgane Térézol, HADACA3 consortium, Anne-Catherine Letournel, Carl Herrmann, Charles Lecellier, Sebastien Dejean, Lionel Spinelli, David Causeur, Anaïs Baudot, Florent Chuffart, Yuna Blum, and Magali Richard How to organise a scientific competition to benchmark methods and algorithms in computational biology?.
Elise Amblard, Vadim Bertrand, Hugo Barbot, Luis Martin Peña, Slim Karkar, Florent Chuffart, Mira Ayadi, Aurélia Baurès, Lucile Armenoult, Yasmina Kermezli. A robust workflow to benchmark deconvolution of multi-omic data. Genome Biology (2025)
Inferring cellular heterogeneity with mixture models for DNA methylation rates - SMPGD 2026 slides
Inferring cellular heterogeneity with mixture models for DNA methylation rates - JdS 2025 proceedings and slides
Multi-omic statistical inference of cellular heterogeneity - IGDR SCAN 26/03/2025 slides
Multi-omic statistical inference of cellular heterogeneity - JdS and JOBIM 2024 proceedings and slides
[Stage Elouan Deffains] Evaluation of linear modeling assumptions in a simulation context for deconvolution of multi-omic data HAL
Simulation of data-driven multi-omic benchmark data for cellular deconvolution methods evaluation - IGDR PhD symposium 2024 HAL
Multi-omic statistical inference of cellular heterogeneity - COBICA 2024 HAL