CancerMutationAnalysis statistics

To access cutting-edge analytics on consensus tools, life science contexts and associated fields, you will need to subscribe to our premium service.

Subscribe
info

Citations per year

Citations chart
info

Popular tool citations

chevron_left Driver mutation prioritization chevron_right
Popular tools chart
info

Tool usage distribution map

Tool usage distribution map
info

Associated diseases

Associated diseases

CancerMutationAnalysis specifications

Information


Unique identifier OMICS_00141
Name CancerMutationAnalysis
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
License GNU General Public License version 2.0
Computer skills Advanced
Version 1.0.0
Stability Stable
Requirements
R(>=2.10.0), qvalue, AnnotationDbi, limma, methods, stats, KEGG.db
Maintained Yes

Versioning


Add your version

Documentation


Maintainer


  • person_outline Simina M. Boca <>

Publication for CancerMutationAnalysis

CancerMutationAnalysis in publication

PMCID: 4163459
PMID: 25250338
DOI: 10.1155/2014/905951

[…] on biological difference with the hypothesis that a driver gene has a higher frequency compared to passenger genes with passenger mutations [, –]. parmigiani et al. developed a software package (cancermutationanalysis, bioconductor) to identify driver mutations at the gene level. this software can calculate passenger mutation rate. carter et al. proposed a novel method for estimating […]


To access a full list of publications, you will need to upgrade to our premium service.

CancerMutationAnalysis institution(s)
Department of Biostatistics and Computational Biology, Dana Farber Cancer Institute, Boston, MA, USA

CancerMutationAnalysis reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review CancerMutationAnalysis