CancerInSilico

DOI: 10.18129/B9.bioc.CancerInSilico    

This package is for version 3.7 of Bioconductor; for the stable, up-to-date release version, see CancerInSilico.

An R interface for computational modeling of tumor progression

Bioconductor version: 3.7

The CancerInSilico package provides an R interface for running mathematical models of tumor progresson and generating gene expression data from the results. This package has the underlying models implemented in C++ and the output and analysis features implemented in R.

Author: Thomas D. Sherman, Raymond Cheng, Elana J. Fertig

Maintainer: Thomas D. Sherman <tomsherman159 at gmail.com>, Elana J. Fertig <ejfertig at jhmi.edu>

Citation (from within R, enter citation("CancerInSilico")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("CancerInSilico")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("CancerInSilico")

 

HTML R Script The CancerInSilico Package
PDF   Reference Manual
Text   NEWS

Details

biocViews BiomedicalInformatics, CellBiology, GeneExpression, MathematicalBiology, RNASeq, SingleCell, Software, SystemsBiology
Version 2.0.0
In Bioconductor since BioC 3.4 (R-3.3) (2 years)
License GPL-2
Depends R (>= 3.4), Rcpp
Imports methods, utils, graphics, stats
LinkingTo Rcpp, BH
Suggests testthat, knitr, rmarkdown, BiocStyle, Rtsne, viridis, rgl
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package CancerInSilico_2.0.0.tar.gz
Windows Binary CancerInSilico_2.0.0.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan) CancerInSilico_2.0.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/CancerInSilico
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/CancerInSilico
Package Short Url http://bioconductor.org/packages/CancerInSilico/
Package Downloads Report Download Stats

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