output
20162025
most citedEpidemiOptim: A Toolbox for the Optimization of Control Policies in Epidemiological Models

27 citations

8 papers

cs.AI2025

Representation learning to advance multi-institutional studies with electronic health record data from US and France

Doudou Zhou, Han Tong, Linshanshan Wang +21

The widespread adoption of electronic health records has created new opportunities for translational clinical research, yet this promise remains constrained by fragmented data acro…

stat.ME2025

RISE: Two-Stage Rank-Based Identification of High-Dimensional Surrogate Markers Applied to Vaccinology

Arthur Hughes, Layla Parast, Rodolphe Thiébaut +1

In vaccine trials with long-term participant follow-up, it is of great importance to identify surrogate markers that accurately infer long-term immune responses. These markers offe…

stat.ME2024

Practical limitations for real-life application of data fission and data thinning in post-clustering differential analysis

Benjamin Hivert, Denis Agniel, Rodolphe Thiébaut +1

Post-clustering inference in single-cell RNA sequencing (scRNA-seq) analysis presents significant challenges in controlling Type I error during differential expression analysis. Da…

stat.ME2020★ 4 cited

Doubly-robust evaluation of high-dimensional surrogate markers

Denis Agniel, Layla Parast, Boris Hejblum

When evaluating the effectiveness of a treatment, policy, or intervention, the desired measure of effectiveness may be expensive to collect, not routinely available, or may take a…

cs.LG2020★ 27 cited

EpidemiOptim: A Toolbox for the Optimization of Control Policies in Epidemiological Models

Cédric Colas, Boris Hejblum, Sébastien Rouillon +4

Epidemiologists model the dynamics of epidemics in order to propose control strategies based on pharmaceutical and non-pharmaceutical interventions (contact limitation, lock down,…

stat.ML2017★ 6 cited

Sequential Dirichlet Process Mixtures of Multivariate Skew t-distributions for Model-based Clustering of Flow Cytometry Data

Boris P. Hejblum, Chariff Alkhassim, Raphael Gottardo +2

Flow cytometry is a high-throughput technology used to quantify multiple surface and intracellular markers at the level of a single cell. This enables to identify cell sub-types, a…

stat.AP2016★ 14 cited

Variance component score test for time-course gene set analysis of longitudinal RNA-seq data

Denis Agniel, Boris P Hejblum

As gene expression measurement technology is shifting from microarrays to sequencing, the statistical tools available for their analysis must be adapted since RNA-seq data are meas…

stat.AP2016★ 2 cited

Modeling CD4+ T cells dynamics in HIV-infected patients receiving repeated cycles of exogenous Interleukin 7

Ana Jarne, Daniel Commenges, Mélanie Prague +2

Combination Antiretroviral Therapy (cART) succeeds to control viral replication in most HIV infected patients. This is normally followed by a reconstitution of the CD4 T cells…