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Hervé Isambert
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2020 – today
- 2023
- [i1]Marcel da Câmara Ribeiro-Dantas, Honghao Li, Vincent Cabeli, Louise Dupuis, Franck Simon, Liza Hettal, Anne-Sophie Hamy, Hervé Isambert:
Learning interpretable causal networks from very large datasets, application to 400, 000 medical records of breast cancer patients. CoRR abs/2303.06423 (2023) - 2022
- [j12]Nadir Sella, Anne-Sophie Hamy, Vincent Cabeli, Lauren Darrigues, Marick Laé, Fabien Reyal, Hervé Isambert:
Interactive exploration of a global clinical network from a large breast cancer cohort. npj Digit. Medicine 5 (2022) - 2021
- [j11]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:
NeuriTES. Monitoring neurite changes through transfer entropy and semantic segmentation in bright-field time-lapse microscopy. Patterns 2(6): 100261 (2021) - 2020
- [j10]Param Priya Singh, Hervé Isambert:
OHNOLOGS v2: a comprehensive resource for the genes retained from whole genome duplication in vertebrates. Nucleic Acids Res. 48(Database-Issue): D724-D730 (2020) - [j9]Vincent Cabeli, Louis Verny, Nadir Sella, Guido Uguzzoni, Marc Verny, Hervé Isambert:
Learning clinical networks from medical records based on information estimates in mixed-type data. PLoS Comput. Biol. 16(5) (2020)
2010 – 2019
- 2019
- [c3]Honghao Li, Vincent Cabeli, Nadir Sella, Hervé Isambert:
Constraint-based Causal Structure Learning with Consistent Separating Sets. NeurIPS 2019: 14257-14266 - 2018
- [j8]Nadir Sella, Louis Verny, Guido Uguzzoni, Séverine Affeldt, Hervé Isambert:
MIIC online: a web server to reconstruct causal or non-causal networks from non-perturbative data. Bioinform. 34(13): 2311-2313 (2018) - 2017
- [j7]Louis Verny, Nadir Sella, Séverine Affeldt, Param Priya Singh, Hervé Isambert:
Learning causal networks with latent variables from multivariate information in genomic data. PLoS Comput. Biol. 13(10) (2017) - 2016
- [j6]Séverine Affeldt, Louis Verny, Hervé Isambert:
3off2: A network reconstruction algorithm based on 2-point and 3-point information statistics. BMC Bioinform. 17(S-2): 12 (2016) - 2015
- [j5]Param Priya Singh, Jatin Arora, Hervé Isambert:
Identification of Ohnolog Genes Originating from Whole Genome Duplication in Early Vertebrates, Based on Synteny Comparison across Multiple Genomes. PLoS Comput. Biol. 11(7) (2015) - [c2]Séverine Affeldt, Hervé Isambert:
Robust Reconstruction of Causal Graphical Models based on Conditional 2-point and 3-point Information. ACI@UAI 2015: 1-29 - [c1]Séverine Affeldt, Hervé Isambert:
Robust reconstruction of causal graphical models based on conditional 2-point and 3-point information. UAI 2015: 42-51 - 2014
- [j4]Séverine Affeldt, Param Priya Singh, Giulia Malaguti, Hervé Isambert:
On the expansion of "dangerous" gene families in vertebrates. BMC Bioinform. 15(S-3): A4 (2014) - [j3]Param Priya Singh, Séverine Affeldt, Giulia Malaguti, Hervé Isambert:
Human Dominant Disease Genes Are Enriched in Paralogs Originating from Whole Genome Duplication. PLoS Comput. Biol. 10(7) (2014)
2000 – 2009
- 2007
- [j2]Kirill Evlampiev, Hervé Isambert:
Modeling protein network evolution under genome duplication and domain shuffling. BMC Syst. Biol. 1: 49 (2007) - 2005
- [j1]Alain Xayaphoummine, T. Bucher, Hervé Isambert:
Kinefold web server for RNA/DNA folding path and structure prediction including pseudoknots and knots. Nucleic Acids Res. 33(Web-Server-Issue): 605-610 (2005)
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