To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("Clomial")
In most cases, you don't need to download the package archive at all.
Bioconductor version: Release (3.5)
Clomial fits binomial distributions to counts obtained from Next Gen Sequencing data of multiple samples of the same tumor. The trained parameters can be interpreted to infer the clonal structure of the tumor.
Author: Habil Zare and Alex Hu
Maintainer: Habil Zare <zare at txstate.edu>
Citation (from within R,
enter citation("Clomial")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("Clomial")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("Clomial")
R Script | A likelihood maximization approach to infer the clonal structure of a cancer using multiple tumor samples | |
Reference Manual | ||
Text | NEWS |
biocViews | Bayesian, Clustering, DNASeq, ExomeSeq, GeneticVariability, Genetics, MultipleComparison, Sequencing, Software, TargetedResequencing |
Version | 1.12.0 |
In Bioconductor since | BioC 2.14 (R-3.1) (3.5 years) |
License | GPL (>= 2) |
Depends | R (>= 2.10), matrixStats |
Imports | methods, permute |
LinkingTo | |
Suggests | |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | Clomial_1.12.0.tar.gz |
Windows Binary | Clomial_1.12.0.zip |
Mac OS X 10.11 (El Capitan) | Clomial_1.12.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/Clomial |
Package Short Url | http://bioconductor.org/packages/Clomial/ |
Package Downloads Report | Download Stats |
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