Discovering Candidates for Gene Network Expansion by Distributed Volunteer Computing. - Francesco Asnicar; Luca Erculiani; Francesca Galante; Caterina Gallo; Luca Masera; Paolo Morettin; Nadir Sella; Stanislau Semeniuta; Thomas Tolio; Giulia Malacarne; Kristof Engelen; Andrea Argentini; et al. (TrustCom/BigDataSE/ISPA (3), 2015)

Learning causal networks with latent variables from multivariate information in genomic data. - Louis Verny; Nadir Sella; Séverine Affeldt; Param Priya Singh; Hervé Isambert (PLoS Comput. Biol., 2017)

MIIC online: a web server to reconstruct causal or non-causal networks from non-perturbative data. - Nadir Sella; Louis Verny; Guido Uguzzoni; Séverine Affeldt; Hervé Isambert (Bioinform., 2018)

NES2RA. - Francesco Asnicar; Luca Masera; Emanuela Coller; Caterina Gallo; Nadir Sella; Thomas Tolio; Paolo Morettin; Luca Erculiani; Francesca Galante; Stanislau Semeniuta; Giulia Malacarne; Kristof Engelen; et al. (Int. J. High Perform. Comput. Appl., 2018)

Constraint-based Causal Structure Learning with Consistent Separating Sets. - Honghao Li; Vincent Cabeli; Nadir Sella; Hervé Isambert (NeurIPS, 2019)

Network analysis of genomic and clinical data. (Reconstruction de réseaux à partir de données génomiques et cliniques). - Nadir Sella (2019)

Learning clinical networks from medical records based on information estimates in mixed-type data. - Vincent Cabeli; Louis Verny; Nadir Sella; Guido Uguzzoni; Marc Verny; Hervé Isambert (PLoS Comput. Biol., 2020)

Interactive exploration of a global clinical network from a large breast cancer cohort. - Nadir Sella; Anne-Sophie Hamy; Vincent Cabeli; Lauren Darrigues; Marick Laé; Fabien Reyal; Hervé Isambert (npj Digit. Medicine, 2022)

Preserving information while respecting privacy through an information theoretic framework for synthetic health data generation. - Nadir Sella; Florent Guinot; Nikita Lagrange; Laurent-Philippe Albou; Jonathan Desponds; Hervé Isambert (npj Digit. Medicine, 2025)