Title
Distinguishing between driver and passenger mutations in individual cancer genomes by network enrichment analysis.
Abstract
In somatic cancer genomes, delineating genuine driver mutations against a background of multiple passenger events is a challenging task. The difficulty of determining function from sequence data and the low frequency of mutations are increasingly hindering the search for novel, less common cancer drivers. The accumulation of extensive amounts of data on somatic point and copy number alterations necessitates the development of systematic methods for driver mutation analysis.
Year
DOI
Venue
2014
10.1186/1471-2105-15-308
BMC Bioinformatics
Keywords
Field
DocType
biological sciences,mutation,microarrays,genomics,roc curve,bioinformatics,algorithms
Genome,Biology,Somatic cell,Genomics,Data sequences,Bioinformatics,Gene regulatory network,Genetics,DNA microarray,Cancer,Mutation
Journal
Volume
Issue
ISSN
15
1
1471-2105
Citations 
PageRank 
References 
8
0.49
11
Authors
3
Name
Order
Citations
PageRank
Simon Kebede Merid180.49
Daria Goranskaya280.49
Andrey Alexeyenko3101.55