Boris P. Hejblum

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 9

Top Topics

Control Policies

Efficient Optimization

Gene Expression

Haplotype Inference

Top Venues

J. Am. Medical Informatics Assoc.

Publications

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 (2024)
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) (2021)
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 (2021)
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) (2021)
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 (2021)
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 (2020)
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) (2019)
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) (2018)
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) (2016)
Boris P. Hejblum, Jason Skinner, Rodolphe Thiébaut
Time-Course Gene Set Analysis for Longitudinal Gene Expression Data. PLoS Comput. Biol. 11 (6) (2015)