Structured sparse canonical correlation analysis for brain imaging genetics: an improved GraphNet method

Motivation: Structured sparse canonical correlation analysis (SCCA) models have been used to identify imaging genetic associations. These models either use group lasso or graph-guided fused lasso to conduct feature selection and feature grouping simultaneously. The group lasso based methods require...

ver descrição completa

Na minha lista:
Detalhes bibliográficos
Publicado no:Bioinformatics
Main Authors: Du, Lei, Huang, Heng, Yan, Jingwen, Kim, Sungeun, Risacher, Shannon L., Inlow, Mark, Moore, Jason H., Saykin, Andrew J., Shen, Li
Formato: Artigo
Idioma:Inglês
Publicado em: Oxford University Press 2016
Assuntos:
Original Papers
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4907375/
https://ncbi.nlm.nih.gov/pubmed/26801960
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btw033
Tags: Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!

Registos relacionados