Time-Course Gene Set Analysis for Longitudinal Gene Expression Data. - Boris P. Hejblum; Jason Skinner; Rodolphe Thiébaut (PLoS Comput. Biol., 2015)

Group and sparse group partial least square approaches applied in genomics context. - Benoît Liquet; Pierre Lafaye de Micheaux; Boris P. Hejblum; Rodolphe Thiébaut (Bioinform., 2016)

PheProb: probabilistic phenotyping using diagnosis codes to improve power for genetic association studies. - Jennifer A. Sinnott; Fiona Cai; Sheng Yu 002; Boris P. Hejblum; Chuan Hong; Isaac S. Kohane; Katherine P. Liao (J. Am. Medical Informatics Assoc., 2018)

Benefits of dimension reduction in penalized regression methods for high-dimensional grouped data: a case study in low sample size. - Soufiane Ajana; Niyazi Acar; Lionel Bretillon; Boris P. Hejblum; Hélène Jacqmin-Gadda; Cécile Delcourt (Bioinform., 2019)

EpidemiOptim: A Toolbox for the Optimization of Control Policies in Epidemiological Models. - Cédric Colas; Boris P. Hejblum; Sébastien Rouillon; Rodolphe Thiébaut; Pierre-Yves Oudeyer; Clément Moulin-Frier; Mélanie Prague (J. Artif. Intell. Res., 2021)

ATLAS: an automated association test using probabilistically linked health records with application to genetic studies. - 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 (J. Am. Medical Informatics Assoc., 2021)

Automatic phenotyping of electronical health record: PheVis algorithm. - Thomas Ferté; Sébastien Cossin; Thierry Schaeverbeke; Thomas Barnetche; Vianney Jouhet; Boris P. Hejblum (J. Biomed. Informatics, 2021)

Robust and Efficient Optimization Using a Marquardt-Levenberg Algorithm with R Package marqLevAlg. - Viviane Philipps; Boris P. Hejblum; Mélanie Prague; Daniel Commenges; Cécile Proust-Lima (R J., 2021)

Reservoir Computing for Short High-Dimensional Time Series: an Application to SARS-CoV-2 Hospitalization Forecast. - Thomas Ferté; Dan Dutartre; Boris P. Hejblum; Romain Griffier; Vianney Jouhet; Rodolphe Thiébaut; Pierrick Legrand; Xavier Hinaut (ICML, 2024)

Post-clustering difference testing: Valid inference and practical considerations with applications to ecological and biological data. - Benjamin Hivert; Denis Agniel; Rodolphe Thiébaut; Boris P. Hejblum (Comput. Stat. Data Anal., 2024)

Representation Learning to Advance Multi-institutional Studies with Electronic Health Record Data. - Doudou Zhou; Han Tong; Linshanshan Wang; Suqi Liu; Xin Xiong; Ziming Gan; Romain Griffier; Boris P. Hejblum; Yun-Chung Liu; Chuan Hong; Clara-Lea Bonzel; Tianrun Cai; et al. (CoRR, 2025)