NMFNA: A Non-negative Matrix Factorization Network Analysis Method for Identifying Modules and Characteristic Genes of Pancreatic Cancer

Pancreatic cancer (PC) is a highly fatal disease, yet its causes remain unclear. Comprehensive analysis of different types of PC genetic data plays a crucial role in understanding its pathogenic mechanisms. Currently, non-negative matrix factorization (NMF)-based methods are widely used for genetic...

Descripción completa

Detalles Bibliográficos
Autores principales: Ding, Qian, Sun, Yan, Shang, Junliang, Li, Feng, Zhang, Yuanyuan, Liu, Jin-Xing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8340025/
https://www.ncbi.nlm.nih.gov/pubmed/34367241
http://dx.doi.org/10.3389/fgene.2021.678642

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8340025/
https://www.ncbi.nlm.nih.gov/pubmed/34367241
http://dx.doi.org/10.3389/fgene.2021.678642

Ejemplares similares