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Learning clinical networks from medical records based on information estimates in mixed-type data
by
Cabeli, Vincent
,
Verny, Louis
,
Sella, Nadir
,
Uguzzoni, Guido
,
Verny, Marc
,
Isambert, Hervé
Published in
PLoS computational biology
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Robust evaluation of deep learning-based representation methods for survival and gene essentiality prediction on bulk RNA-seq data
by
Gross, Baptiste
,
Dauvin, Antonin
,
Cabeli, Vincent
,
Kmetzsch, Virgilio
,
El Khoury, Jean
,
Dissez, Gaëtan
,
Ouardini, Khalil
,
Grouard, Simon
,
Davi, Alec
,
Loeb, Regis
,
Esposito, Christian
,
Hulot, Louis
,
Ghermi, Ridouane
,
Blum, Michael
,
Darhi, Yannis
,
Durand, Eric Y
,
Romagnoni, Alberto
Published in
Scientific reports
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Learning interpretable causal networks from very large datasets, application to 400,000 medical records of breast cancer patients
by
Ribeiro-Dantas, Marcel da Câmara
,
Li, Honghao
,
Cabeli, Vincent
,
Dupuis, Louise
,
Simon, Franck
,
Hettal, Liza
,
Hamy, Anne-Sophie
,
Isambert, Hervé
Published in
iScience
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Interactive exploration of a global clinical network from a large breast cancer cohort
by
Sella, Nadir
,
Hamy, Anne-Sophie
,
Cabeli, Vincent
,
Darrigues, Lauren
,
Laé, Marick
,
Reyal, Fabien
,
Isambert, Hervé
Published in
NPJ digital medicine
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PyDESeq2: a python package for bulk RNA-seq differential expression analysis
by
Muzellec, Boris
,
Teleńczuk, Maria
,
Cabeli, Vincent
,
Andreux, Mathieu
Published in
Bioinformatics (Oxford, England)
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Inferring Gene Networks in Bone Marrow Hematopoietic Stem Cell-Supporting Stromal Niche Populations
by
Desterke, Christophe
,
Petit, Laurence
,
Sella, Nadir
,
Chevallier, Nathalie
,
Cabeli, Vincent
,
Coquelin, Laura
,
Durand, Charles
,
Oostendorp, Robert A.J.
,
Isambert, Hervé
,
Jaffredo, Thierry
,
Charbord, Pierre
Published in
iScience
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