Cargando…
Variable selection for disease progression models: methods for oncogenetic trees and application to cancer and HIV
BACKGROUND: Disease progression models are important for understanding the critical steps during the development of diseases. The models are imbedded in a statistical framework to deal with random variations due to biology and the sampling process when observing only a finite population. Conditional...
| Autores principales: | , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2017
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5539896/ https://www.ncbi.nlm.nih.gov/pubmed/28764644 http://dx.doi.org/10.1186/s12859-017-1762-1 |