PyDESeq2: a python package for bulk RNA-seq differential expression analysis B Muzellec, M Teleńczuk, V Cabeli, M Andreux Bioinformatics 39 (9), btad547, 2023 | 26 | 2023 |
Learning clinical networks from medical records based on information estimates in mixed-type data V Cabeli, L Verny, N Sella, G Uguzzoni, M Verny, H Isambert PLoS computational biology 16 (5), e1007866, 2020 | 23 | 2020 |
Constraint-based causal structure learning with consistent separating sets H Li, V Cabeli, N Sella, H Isambert Advances in neural information processing systems 32, 2019 | 21 | 2019 |
Inferring gene networks in bone marrow hematopoietic stem cell-supporting stromal niche populations C Desterke, L Petit, N Sella, N Chevallier, V Cabeli, L Coquelin, C Durand, ... IScience 23 (6), 2020 | 12 | 2020 |
Metabolically primed multipotent hematopoietic progenitors fuel innate immunity J Cosgrove, AM Lyne, I Rodriguez, V Cabeli, C Conrad, S Tenreira-Bento, ... bioRxiv, 2023.01. 24.525166, 2023 | 3 | 2023 |
Interactive exploration of a global clinical network from a large breast cancer cohort N Sella, AS Hamy, V Cabeli, L Darrigues, M Laé, F Reyal, H Isambert npj Digital Medicine 5 (1), 113, 2022 | 3 | 2022 |
Learning interpretable causal networks from very large datasets, application to 400,000 medical records of breast cancer patients MC Ribeiro-Dantas, H Li, V Cabeli, L Dupuis, F Simon, L Hettal, AS Hamy, ... arXiv preprint arXiv:2303.06423, 2023 | 1 | 2023 |
Learning causal graphs from continuous or mixed datasets of biological or clinical interest V Cabeli Sorbonne université, 2021 | 1 | 2021 |
Reliable causal discovery based on mutual information supremum principle for finite datasets V Cabeli, H Li, M da Câmara Ribeiro-Dantas, F Simon, H Isambert WHY-21 at 35th Conference on Neural Information Processing Systems (NeurIPS …, 2021 | 1 | 2021 |
Deep learning uncovers morphological patterns of YAP1/TEAD activity related to disease aggressiveness in cancer patients B Schmauch, V Cabeli, O Darwiche-Domingues, JE Le Douget, A Hardy, ... Cancer Research 84 (6_Supplement), 7377-7377, 2024 | | 2024 |
Robust Evaluation of Deep Learning-based Representation Methods for Survival and Gene Essentiality Prediction on Bulk RNA-seq Data B Gross, A Dauvin, V Cabeli, V Kmetzsch, J El Khoury, G Dissez, ... bioRxiv, 2024.01. 23.576852, 2024 | | 2024 |
CausalXtract: a flexible pipeline to extract causal effects from live-cell time-lapse imaging data F Simon, MC Comes, T Tocci, L Dupuis, V Cabeli, N Lagrange, ... bioRxiv, 2024.02. 06.579177, 2024 | | 2024 |
Learning causal networks from mixed type variables with (conditional) mutual information estimation V Cabeli, H Isambert | | 2021 |