Gene shaving using a sensitivity analysis of kernel based machine learning approach, with applications to cancer data

BACKGROUND: Gene shaving (GS) is an essential and challenging tools for biomedical researchers due to the large number of genes in human genome and the complex nature of biological networks. Most GS methods are not applicable to non-linear and multi-view data sets. While the kernel based methods can...

Descripción completa

Detalles Bibliográficos
Autores principales: Alam, Md. Ashad, Shahjaman, Mohammd, Rahman, Md. Ferdush, Hossain, Fokhrul, Deng, Hong-Wen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6532884/
https://www.ncbi.nlm.nih.gov/pubmed/31120939
http://dx.doi.org/10.1371/journal.pone.0217027

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6532884/
https://www.ncbi.nlm.nih.gov/pubmed/31120939
http://dx.doi.org/10.1371/journal.pone.0217027

Ejemplares similares