Biomarker Selection and Classification of “-Omics” Data Using a Two-Step Bayes Classification Framework

Identification of suitable biomarkers for accurate prediction of phenotypic outcomes is a goal for personalized medicine. However, current machine learning approaches are either too complex or perform poorly. Here, a novel two-step machine-learning framework is presented to address this need. First,...

Descripción completa

Detalles Bibliográficos
Autores principales: Assawamakin, Anunchai, Prueksaaroon, Supakit, Kulawonganunchai, Supasak, Shaw, Philip James, Varavithya, Vara, Ruangrajitpakorn, Taneth, Tongsima, Sissades
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2013
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3784073/
https://www.ncbi.nlm.nih.gov/pubmed/24106694
http://dx.doi.org/10.1155/2013/148014

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3784073/
https://www.ncbi.nlm.nih.gov/pubmed/24106694
http://dx.doi.org/10.1155/2013/148014

Ejemplares similares