A Sparse Mixture-of-Experts Model With Screening of Genetic Associations to Guide Disease Subtyping

Autor: Marie Courbariaux, Kylliann De Santiago, Cyril Dalmasso, Fabrice Danjou, Samir Bekadar, Jean-Christophe Corvol, Maria Martinez, Marie Szafranski, Christophe Ambroise

Publikováno v: Frontiers in Genetics
Frontiers in Genetics, 2022, Statistical Methods, Computing, and Resources for Genome-Wide Association Studies, Volume II, 13, ⟨10.3389/fgene.2022.859462⟩

Motivation: Identifying new genetic associations in non-Mendelian complex diseases is an increasingly difficult challenge. These diseases sometimes appear to have a significant component of heritability requiring explanation, and this missing heritab

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c38f45d52b8d881b830feef57a06356e
https://pubmed.ncbi.nlm.nih.gov/35734430

A sparse logistic mixture model for disease subtyping with clinical and genetic data

Autor: COURBARIAUX, MARIE, Szafranski, Marie, Dalmasso, Cyril, Danjou, Fabrice, Bekadar, Samir, Corvol, Jean-Christophe, Martinez, Maria, Ambroise, Christophe

This work proposes an original method for disease subtyping from both longitudinal clinical variables and genetic markers via a mixture of regressions model, with logistic weights function of a potentially large number of genetic variables. In order

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______212::c811f41cee6903c41961eb577db2802e
https://hal.archives-ouvertes.fr/hal-01822237v4/document