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Books and Theses
- 2021
[b1]Vincent Cabeli:
Learning causal graphs from continuous or mixed datasets of biological or clinical interest. (Apprentissage de graphes causaux à partir de données continues ou mixtes d'intérêt biologique ou clinique). Sorbonne University, Paris, France, 2021
Journal Articles
- 2023
- [j3]Boris Muzellec
, Maria Telenczuk, Vincent Cabeli, Mathieu Andreux:
PyDESeq2: a python package for bulk RNA-seq differential expression analysis. Bioinform. 39(9) (2023) - 2022
- [j2]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) - 2020
- [j1]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)
Conference and Workshop Papers
- 2019
- [c1]Honghao Li, Vincent Cabeli, Nadir Sella, Hervé Isambert:
Constraint-based Causal Structure Learning with Consistent Separating Sets. NeurIPS 2019: 14257-14266
Informal and Other Publications
- 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)
Coauthor Index
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