Discovering combinatorial interactions in survival data

Motivation: Although several methods exist to relate high-dimensional gene expression data to various clinical phenotypes, finding combinations of features in such input remains a challenge, particularly when fitting complex statistical models such as those used for survival studies. Results: Our pr...

Descripción completa

Detalles Bibliográficos
Autores principales: duVerle, David A., Takeuchi, Ichiro, Murakami-Tonami, Yuko, Kadomatsu, Kenji, Tsuda, Koji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2013
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3834797/
https://www.ncbi.nlm.nih.gov/pubmed/24037215
http://dx.doi.org/10.1093/bioinformatics/btt532

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3834797/
https://www.ncbi.nlm.nih.gov/pubmed/24037215
http://dx.doi.org/10.1093/bioinformatics/btt532

Ejemplares similares