Integrating gene set analysis and nonlinear predictive modeling of disease phenotypes using a Bayesian multitask formulation

BACKGROUND: Identifying molecular signatures of disease phenotypes is studied using two mainstream approaches: (i) Predictive modeling methods such as linear classification and regression algorithms are used to find signatures predictive of phenotypes from genomic data, which may not be robust due t...

Descripción completa

Detalles Bibliográficos
Autor principal: Gönen, Mehmet
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5249028/
https://www.ncbi.nlm.nih.gov/pubmed/28105911
http://dx.doi.org/10.1186/s12859-016-1311-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5249028/
https://www.ncbi.nlm.nih.gov/pubmed/28105911
http://dx.doi.org/10.1186/s12859-016-1311-3

Ejemplares similares