Source Themes

A Quantitative Multivariate Model of Human Dendritic Cell-T Helper Cell Communication

In this article we used statistical model to described rules that explain communication between dendritic cells and T helper cells. This rules can be helpful in vaccine design and immunotherapy.

Regularized methods to study multivariate data in high dimensional settings: theory and applications.

Theoretical, numerical and applied studies of a novel variable selection approach in the framework of multivariate linear models taking into account the dependence that may exist between the responses. In this framework the number of responses can be much higher than the sample size.

A multivariate Th17 metagene for prognostic stratification in T cell non-inflamed triple negative breast cancer

A diversity of T helper (Th) subsets (Th1, Th2, Th17) has been identified in the human tumor microenvironment. In breast cancer, the role of Th subsets remains controversial, and a systematic study integrating Th subset diversity, T cell …

Variable selection in multivariate linear models with high-dimensional covariance matrix estimation

Theoretical study of a novel variable selection approach in the framework of multivariate linear models taking into account the dependence that may exist between the responses. In this study the number of responses can tend to infty as a power of the sample size.