A carregar...
Accounting for grouped predictor variables or pathways in high-dimensional penalized Cox regression models
BACKGROUND: The standard lasso penalty and its extensions are commonly used to develop a regularized regression model while selecting candidate predictor variables on a time-to-event outcome in high-dimensional data. However, these selection methods focus on a homogeneous set of variables and do not...
Na minha lista:
| Publicado no: | BMC Bioinformatics |
|---|---|
| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2020
|
| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7331150/ https://ncbi.nlm.nih.gov/pubmed/32615919 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-020-03618-y |
| Tags: |
Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!
|