CancerInSilico
This package is for version 3.18 of Bioconductor; for the stable, up-to-date release version, see CancerInSilico.
An R interface for computational modeling of tumor progression
Bioconductor version: 3.18
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("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 |
Details
biocViews | BiomedicalInformatics, CellBiology, GeneExpression, ImmunoOncology, MathematicalBiology, RNASeq, SingleCell, Software, SystemsBiology |
Version | 2.22.0 |
In Bioconductor since | BioC 3.4 (R-3.3) (7.5 years) |
License | GPL-2 |
Depends | R (>= 3.4), Rcpp |
Imports | methods, utils, graphics, stats |
System Requirements | |
URL |
See More
Suggests | testthat, knitr, rmarkdown, BiocStyle, Rtsne, viridis, rgl, gplots |
Linking To | Rcpp, BH |
Enhances | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | |
Windows Binary | CancerInSilico_2.22.0.zip |
macOS Binary (x86_64) | CancerInSilico_2.22.0.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 |