This site is a development preview. As such the content and styling may not be final and is subject to change before going into production. To see more information about the redesign click here.

CancerInSilico

An R interface for computational modeling of tumor progression

Bioconductor version: Release (3.17)

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 (version "4.3") 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

Reference Manual PDF

Details

biocViews BiomedicalInformatics, CellBiology, GeneExpression, ImmunoOncology, MathematicalBiology, RNASeq, SingleCell, Software, SystemsBiology
Version 2.20.0
In Bioconductor since BioC 3.4 (R-3.3) (7 years)
License GPL-2
Depends R (>= 3.4), Rcpp
Imports methods, utils, graphics, stats
Linking To Rcpp, BH
Suggests testthat, knitr, rmarkdown, BiocStyle, Rtsne, viridis, rgl, gplots
System Requirements
Enhances
URL
See More
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
Windows Binary CancerInSilico_2.20.0.zip
macOS Binary (x86_64) CancerInSilico_2.20.0.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