Cargando…
Survival associated pathway identification with group L(p )penalized global AUC maximization
It has been demonstrated that genes in a cell do not act independently. They interact with one another to complete certain biological processes or to implement certain molecular functions. How to incorporate biological pathways or functional groups into the model and identify survival associated gen...
Autores principales: | Liu, Zhenqiu, Magder, Laurence S, Hyslop, Terry, Mao, Li |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2010
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2930641/ https://www.ncbi.nlm.nih.gov/pubmed/20712896 http://dx.doi.org/10.1186/1748-7188-5-30 |
Ejemplares similares
-
Gene and pathway identification with L(p )penalized Bayesian logistic regression
por: Liu, Zhenqiu, et al.
Publicado: (2008) -
AucPR: An AUC-based approach using penalized regression for disease prediction with
high-dimensional omics data
por: Yu, Wenbao, et al.
Publicado: (2014) -
An Adaptive Moment estimation method for online AUC maximization
por: Liu, Xin, et al.
Publicado: (2019) -
Partial AUC maximization for essential gene prediction using genetic algorithms
por: Hwang, Kyu-Baek, et al.
Publicado: (2013) -
AVC: Selecting discriminative features on basis of AUC by maximizing variable complementarity
por: Sun, Lei, et al.
Publicado: (2017)