A random walk-based method to identify driver genes by integrating the subcellular localization and variation frequency into bipartite graph

A random walk-based method to identify driver genes by integrating the subcellular localization and variation frequency into bipartite graph

Abstract Background Cancer as a worldwide problem is driven by genomic alterations. With the advent of high-throughput sequencing technology, a huge amount of genomic data generates at every second which offer many valuable cancer information and meanwhile throw a big challenge to those investigator...

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Bibliographic Details
Main Authors: Junrong Song, Wei Peng, Feng Wang
Format: Article
Language:English
Published: BMC 2019-05-01
Series:BMC Bioinformatics
Subjects:
Driver genes
Random walk
Subcellular localization
Variation frequency
Dysregulated genes
Genomic expression
Online Access:http://link.springer.com/article/10.1186/s12859-019-2847-9

Internet

http://link.springer.com/article/10.1186/s12859-019-2847-9

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