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2020 – today
- 2024
[j9]Benjamin Hivert
, Denis Agniel, Rodolphe Thiébaut, Boris P. Hejblum:
Post-clustering difference testing: Valid inference and practical considerations with applications to ecological and biological data. Comput. Stat. Data Anal. 193: 107916 (2024)- [c1]Thomas Ferté, Dan Dutartre, Boris P. Hejblum, Romain Griffier, Vianney Jouhet, Rodolphe Thiébaut, Pierrick Legrand, Xavier Hinaut:
Reservoir Computing for Short High-Dimensional Time Series: an Application to SARS-CoV-2 Hospitalization Forecast. ICML 2024 - 2021
- [j8]Cédric Colas, Boris P. Hejblum, Sébastien Rouillon, Rodolphe Thiébaut, Pierre-Yves Oudeyer, Clément Moulin-Frier, Mélanie Prague:
EpidemiOptim: A Toolbox for the Optimization of Control Policies in Epidemiological Models. J. Artif. Intell. Res. 71: 479-519 (2021) - [j7]Harrison G. Zhang, Boris P. Hejblum, Griffin M. Weber, Nathan P. Palmer, Susanne E. Churchill, Peter Szolovits, Shawn N. Murphy, Katherine P. Liao, Isaac S. Kohane, Tianxi Cai:
ATLAS: an automated association test using probabilistically linked health records with application to genetic studies. J. Am. Medical Informatics Assoc. 28(12): 2582-2592 (2021) - [j6]Thomas Ferté, Sébastien Cossin, Thierry Schaeverbeke, Thomas Barnetche, Vianney Jouhet, Boris P. Hejblum:
Automatic phenotyping of electronical health record: PheVis algorithm. J. Biomed. Informatics 117: 103746 (2021) - [j5]Viviane Philipps, Boris P. Hejblum, Mélanie Prague, Daniel Commenges, Cécile Proust-Lima:
Robust and Efficient Optimization Using a Marquardt-Levenberg Algorithm with R Package marqLevAlg. R J. 13(2): 273 (2021) - 2020
- [i1]Cédric Colas, Boris P. Hejblum, Sébastien Rouillon, Rodolphe Thiébaut, Pierre-Yves Oudeyer, Clément Moulin-Frier, Mélanie Prague:
EpidemiOptim: A Toolbox for the Optimization of Control Policies in Epidemiological Models. CoRR abs/2010.04452 (2020)
2010 – 2019
- 2019
- [j4]Soufiane Ajana, Niyazi Acar, Lionel Bretillon, Boris P. Hejblum, Hélène Jacqmin-Gadda, Cécile Delcourt:
Benefits of dimension reduction in penalized regression methods for high-dimensional grouped data: a case study in low sample size. Bioinform. 35(19): 3628-3634 (2019) - 2018
- [j3]Jennifer A. Sinnott, Fiona Cai, Sheng Yu, Boris P. Hejblum, Chuan Hong, Isaac S. Kohane, Katherine P. Liao:
PheProb: probabilistic phenotyping using diagnosis codes to improve power for genetic association studies. J. Am. Medical Informatics Assoc. 25(10): 1359-1365 (2018) - 2016
- [j2]Benoît Liquet, Pierre Lafaye de Micheaux, Boris P. Hejblum, Rodolphe Thiébaut:
Group and sparse group partial least square approaches applied in genomics context. Bioinform. 32(1): 35-42 (2016) - 2015
- [j1]Boris P. Hejblum, Jason Skinner, Rodolphe Thiébaut:
Time-Course Gene Set Analysis for Longitudinal Gene Expression Data. PLoS Comput. Biol. 11(6) (2015)
Coauthor Index
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