activity
20062026
most citedSafe Feature Elimination in Sparse Supervised Learning

178 citations · 324 across the 24 of their papers we have counts for

collaborators

24 papers

stat.AP2026

Data Shared Neighbourhood Selection for multi-condition network inference

Blanche Francheterre, Ruben Colindres Zuehlke, Vivian Viallon +2

External stresses may affect both the circulating levels of specific biomarkers and disturb the correlation structures across molecular entities. The contribution of both types of…

stat.ME2026

On the estimation of inclusion probabilities for weighted analyses of nested case control studies

Tomeu López-Nieto-Veitch, Rossella De Sabbata, Ryung Kim +3

Nested case-control (NCC) studies are a widely adopted design in epidemiology to investigate exposure-disease relationships. This paper examines weighted analyses in NCC studies, f…

q-bio.QM2023

Optimal transport for automatic alignment of untargeted metabolomic data

Marie Breeur, George Stepaniants, Pekka Keski-Rahkonen +2

Untargeted metabolomic profiling through liquid chromatography-mass spectrometry (LC-MS) measures a vast array of metabolites within biospecimens, advancing drug development, disea…

stat.ME2020

On the use of cross-validation for the calibration of the adaptive lasso

Ballout Nadim, Etievant Lola, Viallon Vivian

The adaptive lasso refers to a class of methods that use weighted versions of the -norm penalty, with weights derived from an initial estimate of the parameter vector to be es…

stat.ME2020

On some limitations of probabilistic models for dimension-reduction: Illustration in the case of probabilistic formulations of partial least squares

Lola Etievant, Vivian Viallon

Partial Least Squares (PLS) refer to a class of dimension-reduction techniques aiming at the identification of two sets of components with maximal covariance, to model the relation…

stat.ME2019

Sparse estimation for case-control studies with multiple subtypes of cases

Nadim Ballout, Cedric Garcia, Vivian Viallon

The analysis of case-control studies with several subtypes of cases is increasingly common, e.g. in cancer epidemiology. For matched designs, we show that a natural strategy is bas…