Hervé Isambert

According to our database, Hervé Isambert authored at least 15 papers between 2005 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

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

2022

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

2021

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, Eugenio Martinelli

Patterns, 2021

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

OHNOLOGS v2: a comprehensive resource for the genes retained from whole genome duplication in vertebrates.

Param Priya Singh, Hervé Isambert

Nucleic Acids Res., 2020

2019

Constraint-based Causal Structure Learning with Consistent Separating Sets.

Honghao Li, Vincent Cabeli, Nadir Sella, Hervé Isambert

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

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

2017

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

2016

3off2: A network reconstruction algorithm based on 2-point and 3-point information statistics.

Séverine Affeldt, Louis Verny, Hervé Isambert

BMC Bioinform., 2016

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, Hervé Isambert

PLoS Comput. Biol., 2015

Robust Reconstruction of Causal Graphical Models based on Conditional 2-point and 3-point Information.

Séverine Affeldt, Hervé Isambert

Proceedings of the UAI 2015 Workshop on Advances in Causal Inference co-located with the 31st Conference on Uncertainty in Artificial Intelligence (UAI 2015), 2015

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

On the expansion of "dangerous" gene families in vertebrates.

Séverine Affeldt, Param Priya Singh, Giulia Malaguti, Hervé Isambert

BMC Bioinform., 2014

2007

Modeling protein network evolution under genome duplication and domain shuffling.

Kirill Evlampiev, Hervé Isambert

BMC Syst. Biol., 2007

2005

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