Comparative performances of machine learning methods for classifying Crohn Disease patients using genome-wide genotyping data

Crohn Disease (CD) is a complex genetic disorder for which more than 140 genes have been identified using genome wide association studies (GWAS). However, the genetic architecture of the trait remains largely unknown. The recent development of machine learning (ML) approaches incited us to apply the...

Descripción completa

Detalles Bibliográficos
Autores principales: Romagnoni, Alberto, Jégou, Simon, Van Steen, Kristel, Wainrib, Gilles, Hugot, Jean-Pierre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6637191/
https://www.ncbi.nlm.nih.gov/pubmed/31316157
http://dx.doi.org/10.1038/s41598-019-46649-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6637191/
https://www.ncbi.nlm.nih.gov/pubmed/31316157
http://dx.doi.org/10.1038/s41598-019-46649-z

Ejemplares similares