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

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...

Full description

Bibliographic Details
Main Authors: Qian Ding, Yan Sun, Junliang Shang, Feng Li, Yuanyuan Zhang, Jin-Xing Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-07-01
Series:Frontiers in Genetics
Subjects:
pancreatic cancer
non-negative matrix factorization
module
network analysis
characteristic gene
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2021.678642/full

Internet

https://www.frontiersin.org/articles/10.3389/fgene.2021.678642/full

Similar Items