SCNrank: spectral clustering for network-based ranking to reveal potential drug targets and its application in pancreatic ductal adenocarcinoma

SCNrank: spectral clustering for network-based ranking to reveal potential drug targets and its application in pancreatic ductal adenocarcinoma

Abstract Background Pancreatic ductal adenocarcinoma (PDAC) is the most common pancreatic malignancy. Due to its wide heterogeneity, PDAC acts aggressively and responds poorly to most chemotherapies, causing an urgent need for the development of new therapeutic strategies. Cell lines have been used...

Full description

Bibliographic Details
Main Authors: Enze Liu, Zhuang Zhuang Zhang, Xiaolin Cheng, Xiaoqi Liu, Lijun Cheng
Format: Article
Language:English
Published: BMC 2020-04-01
Series:BMC Medical Genomics
Subjects:
Integrated network
Protein-protein interaction network
Spectral clustering
Drug target ranking
Online Access:http://link.springer.com/article/10.1186/s12920-020-0681-6

Internet

http://link.springer.com/article/10.1186/s12920-020-0681-6

Similar Items