A Similarity Regression Fusion Model for Integrating Multi-Omics Data to Identify Cancer Subtypes

The identification of cancer subtypes is crucial to cancer diagnosis and treatments. A number of methods have been proposed to identify cancer subtypes by integrating multi-omics data in recent years. However, the existing methods rarely consider the biases of similarity between samples and weights...

Descripción completa

Detalles Bibliográficos
Autores principales: Guo, Yang, Zheng, Jianning, Shang, Xuequn, Li, Zhanhuai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6070922/
https://www.ncbi.nlm.nih.gov/pubmed/29933539
http://dx.doi.org/10.3390/genes9070314

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6070922/
https://www.ncbi.nlm.nih.gov/pubmed/29933539
http://dx.doi.org/10.3390/genes9070314

Ejemplares similares