Investigation of model stacking for drug sensitivity prediction

BACKGROUND: A significant problem in precision medicine is the prediction of drug sensitivity for individual cancer cell lines. Predictive models such as Random Forests have shown promising performance while predicting from individual genomic features such as gene expressions. However, accessibility...

Descripción completa

Detalles Bibliográficos
Autores principales: Matlock, Kevin, De Niz, Carlos, Rahman, Raziur, Ghosh, Souparno, Pal, Ranadip
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5872495/
https://www.ncbi.nlm.nih.gov/pubmed/29589559
http://dx.doi.org/10.1186/s12859-018-2060-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5872495/
https://www.ncbi.nlm.nih.gov/pubmed/29589559
http://dx.doi.org/10.1186/s12859-018-2060-2

Ejemplares similares