A Random Walk Based Cluster Ensemble Approach for Data Integration and Cancer Subtyping

Availability of diverse types of high-throughput data increases the opportunities for researchers to develop computational methods to provide a more comprehensive view for the mechanism and therapy of cancer. One fundamental goal for oncology is to divide patients into subtypes with clinical and bio...

Descripción completa

Detalles Bibliográficos
Autores principales: Yang, Chao, Wang, Yu-Tian, Zheng, Chun-Hou
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6356971/
https://www.ncbi.nlm.nih.gov/pubmed/30669418
http://dx.doi.org/10.3390/genes10010066

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6356971/
https://www.ncbi.nlm.nih.gov/pubmed/30669418
http://dx.doi.org/10.3390/genes10010066

Ejemplares similares