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Bioconductor - canceR (development version)

canceR

This is the development version of canceR; for the stable release version, see canceR.

A Graphical User Interface for accessing and modeling the Cancer Genomics Data of MSKCC

Bioconductor version: Development (3.22)

The package is user friendly interface based on the cgdsr and other modeling packages to explore, compare, and analyse all available Cancer Data (Clinical data, Gene Mutation, Gene Methylation, Gene Expression, Protein Phosphorylation, Copy Number Alteration) hosted by the Computational Biology Center at Memorial-Sloan-Kettering Cancer Center (MSKCC).

Author: Karim Mezhoud. Nuclear Safety & Security Department. Nuclear Science Center of Tunisia.

Maintainer: Karim Mezhoud <kmezhoud at gmail.com>

Citation (from within R, enter citation("canceR")): Installation

To install this package, start R (version "4.5") and enter:


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("canceR")

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("canceR")
canceR: A Graphical User Interface for accessing and modeling the Cancer Genomics Data of MSKCC HTML R Script Reference Manual PDF NEWS Text Details biocViews Clustering, GO, GUI, GeneExpression, GeneSetEnrichment, KEGG, MultipleComparison, Software Version 1.43.0 In Bioconductor since BioC 3.1 (R-3.2) (10 years) License GPL-2 Depends R (>= 4.3), tcltk, cBioPortalData Imports GSEABase, tkrplot, geNetClassifier, RUnit, Formula, rpart, survival, Biobase, phenoTest, circlize, plyr, tidyr, dplyr, graphics, stats, utils, grDevices, R.oo, R.methodsS3 System Requirements Tktable, BWidget URL Bug Reports https://github.com/kmezhoud/canceR/issues See More Package Archives

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


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