Mining for Candidate Genes Related to Pancreatic Cancer Using Protein-Protein Interactions and a Shortest Path Approach
Joint Authors
Zhang, Yu-Hang
Wan, Sibao
Wang, ShaoPeng
Yuan, Fei
Kong, Xiangyin
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-11-03
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Pancreatic cancer (PC) is a highly malignant tumor derived from pancreas tissue and is one of the leading causes of death from cancer.
Its molecular mechanism has been partially revealed by validating its oncogenes and tumor suppressor genes; however, the available data remain insufficient for medical workers to design effective treatments.
Large-scale identification of PC-related genes can promote studies on PC.
In this study, we propose a computational method for mining new candidate PC-related genes.
A large network was constructed using protein-protein interaction information, and a shortest path approach was applied to mine new candidate genes based on validated PC-related genes.
In addition, a permutation test was adopted to further select key candidate genes.
Finally, for all discovered candidate genes, the likelihood that the genes are novel PC-related genes is discussed based on their currently known functions.
American Psychological Association (APA)
Yuan, Fei& Zhang, Yu-Hang& Wan, Sibao& Wang, ShaoPeng& Kong, Xiangyin. 2015. Mining for Candidate Genes Related to Pancreatic Cancer Using Protein-Protein Interactions and a Shortest Path Approach. BioMed Research International،Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1056165
Modern Language Association (MLA)
Yuan, Fei…[et al.]. Mining for Candidate Genes Related to Pancreatic Cancer Using Protein-Protein Interactions and a Shortest Path Approach. BioMed Research International No. 2015 (2015), pp.1-12.
https://search.emarefa.net/detail/BIM-1056165
American Medical Association (AMA)
Yuan, Fei& Zhang, Yu-Hang& Wan, Sibao& Wang, ShaoPeng& Kong, Xiangyin. Mining for Candidate Genes Related to Pancreatic Cancer Using Protein-Protein Interactions and a Shortest Path Approach. BioMed Research International. 2015. Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1056165
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1056165