Tree-Based Methods for Discovery of Association between Flow Cytometry Data and Clinical Endpoints

We demonstrate the application and comparative interpretations of three tree-based algorithms for the analysis of data arising from flow cytometry: classification and regression trees (CARTs), random forests (RFs), and logic regression (LR). Specifically, we consider the question of what best predic...

Descripción completa

Detalles Bibliográficos
Autores principales: Eliot, M., Azzoni, L., Firnhaber, C., Stevens, W., Glencross, D. K., Sanne, I., Montaner, L. J., Foulkes, A. S.
Formato: Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2009
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2817388/
https://www.ncbi.nlm.nih.gov/pubmed/20145719
http://dx.doi.org/10.1155/2009/235320

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2817388/
https://www.ncbi.nlm.nih.gov/pubmed/20145719
http://dx.doi.org/10.1155/2009/235320

Ejemplares similares