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Bioinformatics (Oxford, England)|September 5, 2023
PyDESeq2: a python package for bulk RNA-seq differential expression analysisBoris Muzellec, Maria Teleńczuk, Vincent Cabeli, et al.Plos Computational Biology|May 19, 2020
Learning clinical networks from medical records based on information estimates in mixed-type dataVincent Cabeli, Louis Verny, Nadir Sella, et al.NPJ Digital Medicine|August 10, 2022
Interactive exploration of a global clinical network from a large breast cancer cohortNadir Sella, Anne-Sophie Hamy, Vincent Cabeli, et al.Elife|January 17, 2025
CausalXtract, a flexible pipeline to extract causal effects from live-cell time-lapse imaging dataFranck Simon, Maria Colomba Comes, Tiziana Tocci, et al.Iscience|May 7, 2024
Learning interpretable causal networks from very large datasets, application to 400,000 medical records of breast cancer patientsMarcel da Câmara Ribeiro-Dantas, Honghao Li, Vincent Cabeli, et al.Iscience|June 15, 2020
Inferring Gene Networks in Bone Marrow Hematopoietic Stem Cell-Supporting Stromal Niche PopulationsChristophe Desterke, Laurence Petit, Nadir Sella, et al.Scientific Reports|July 24, 2024
Robust evaluation of deep learning-based representation methods for survival and gene essentiality prediction on bulk RNA-seq dataBaptiste Gross, Antonin Dauvin, Vincent Cabeli, et al.Iscience|January 27, 2025
Deep learning uncovers histological patterns of YAP1/TEAD activity related to disease aggressiveness in cancer patientsBenoit Schmauch, Vincent Cabeli, Omar Darwiche Domingues, et al.Pageof 1