Cargando…
Identification of an eight-lncRNA prognostic model for breast cancer using WGCNA network analysis and a Cox-proportional hazards model based on L1-penalized estimation
An ever-increasing number of long noncoding (lnc) RNAs has been identified in breast cancer. The present study aimed to establish an lncRNA signature for predicting survival in breast cancer. RNA expression profiling was performed using microarray gene expression data from the National Center for Bi...
Autores principales: | Liu, Zhenbin, Li, Menghu, Hua, Qi, Li, Yanfang, Wang, Gang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
D.A. Spandidos
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6713414/ https://www.ncbi.nlm.nih.gov/pubmed/31432096 http://dx.doi.org/10.3892/ijmm.2019.4303 |
Ejemplares similares
-
Estimating effects of rare haplotypes on failure time using a penalized Cox proportional hazards regression model
por: Souverein, Olga W, et al.
Publicado: (2008) -
Tests for the proportional hazards assumption in the Cox model
por: Reiersølmoen, L, et al.
Publicado: (2001) -
Detecting prognostic biomarkers of breast cancer by regularized Cox proportional hazards models
por: Li, Lingyu, et al.
Publicado: (2021) -
On Cox proportional hazards model performance under different sampling schemes
por: Samawi, Hani, et al.
Publicado: (2023) -
Extension of Cox Proportional Hazard Model for Estimation of Interrelated Age-Period-Cohort Effects on Cancer Survival
por: Mdzinarishvili, Tengiz, et al.
Publicado: (2011)