Kinefold web server for RNA/DNA folding path and structure prediction including pseudoknots and knots. - Alain Xayaphoummine; T. Bucher; Hervé Isambert (Nucleic Acids Res., 2005)

Modeling protein network evolution under genome duplication and domain shuffling. - Kirill Evlampiev; Hervé Isambert (BMC Syst. Biol., 2007)

On the expansion of "dangerous" gene families in vertebrates. - Séverine Affeldt; Param Priya Singh; Giulia Malaguti; Hervé Isambert (BMC Bioinform., 2014)

Human Dominant Disease Genes Are Enriched in Paralogs Originating from Whole Genome Duplication. - Param Priya Singh; Séverine Affeldt; Giulia Malaguti; Hervé Isambert (PLoS Comput. Biol., 2014)

Robust Reconstruction of Causal Graphical Models based on Conditional 2-point and 3-point Information. - Séverine Affeldt; Hervé Isambert (ACI@UAI, 2015)

Identification of Ohnolog Genes Originating from Whole Genome Duplication in Early Vertebrates, Based on Synteny Comparison across Multiple Genomes. - Param Priya Singh; Jatin Arora 004; Hervé Isambert (PLoS Comput. Biol., 2015)

3off2: A network reconstruction algorithm based on 2-point and 3-point information statistics. - Séverine Affeldt; Louis Verny; Hervé Isambert (BMC Bioinform., 2016)

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)

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

OHNOLOGS v2: a comprehensive resource for the genes retained from whole genome duplication in vertebrates. - Param Priya Singh; Hervé Isambert (Nucleic Acids Res., 2020)

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)

NeuriTES. Monitoring neurite changes through transfer entropy and semantic segmentation in bright-field time-lapse microscopy. - Arianna Mencattini; Alida Spalloni; Paola Casti; Maria Colomba Comes; Davide Di Giuseppe; Gianni Antonelli; Michele D'Orazio; Joanna Filippi; Francesca Corsi; Hervé Isambert; Corrado Di Natale; Patrizia Longone; et al. (Patterns, 2021)

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)

Learning interpretable causal networks from very large datasets, application to 400, 000 medical records of breast cancer patients. - Marcel da Câmara Ribeiro-Dantas; Honghao Li; Vincent Cabeli; Louise Dupuis; Franck Simon; Liza Hettal; Anne-Sophie Hamy; Hervé Isambert (CoRR, 2023)

An efficient search-and-score algorithm for ancestral graphs using multivariate information scores. - Nikita Lagrange; Hervé Isambert (CoRR, 2024)

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)