CancerInSilico

DOI: 10.18129/B9.bioc.CancerInSilico  

An R interface for computational modeling of tumor progression

Bioconductor version: Release (3.16)

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>

Installation

To install this package, start R (version "4.2") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("CancerInSilico")

For older versions of R, please refer to the appropriate Bioconductor release.

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, ImmunoOncology, MathematicalBiology, RNASeq, SingleCell, Software, SystemsBiology
Version	2.18.0
In Bioconductor since	BioC 3.4 (R-3.3) (6.5 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, gplots
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_2.18.0.tar.gz
Windows Binary	CancerInSilico_2.18.0.zip (64-bit only)
macOS Binary (x86_64)	CancerInSilico_2.18.0.tgz
macOS Binary (arm64)
Source Repository	git clone https://git.bioconductor.org/packages/CancerInSilico
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/CancerInSilico
Bioc Package Browser	https://code.bioconductor.org/browse/CancerInSilico/
Package Short Url	https://bioconductor.org/packages/CancerInSilico/
Package Downloads Report	Download Stats