Xeva

Analysis of patient-derived xenograft (PDX) data


Bioconductor version: Release (3.20)

The Xeva package provides efficient and powerful functions for patient-drived xenograft (PDX) based pharmacogenomic data analysis. This package contains a set of functions to perform analysis of patient-derived xenograft data. This package was developed by the BHKLab, for further information please see our documentation.

Author: Arvind Mer [aut], Benjamin Haibe-Kains [aut, cre]

Maintainer: Benjamin Haibe-Kains <benjamin.haibe.kains at utoronto.ca>

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

Installation

To install this package, start R (version "4.4") and enter:


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

BiocManager::install("Xeva")

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("Xeva")
The Xeva User's Guide PDF R Script
Reference Manual PDF
NEWS Text

Details

biocViews Classification, GeneExpression, Pharmacogenetics, Pharmacogenomics, Software
Version 1.22.0
In Bioconductor since BioC 3.9 (R-3.6) (5.5 years)
License GPL-3
Depends R (>= 3.6)
Imports methods, stats, utils, BBmisc, Biobase, grDevices, ggplot2, scales, ComplexHeatmap, parallel, doParallel, Rmisc, grid, nlme, PharmacoGx, downloader
System Requirements
URL
Bug Reports https://github.com/bhklab/Xeva/issues
See More
Suggests BiocStyle, knitr, rmarkdown
Linking To
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 Xeva_1.22.0.tar.gz
Windows Binary (x86_64) Xeva_1.22.0.zip
macOS Binary (x86_64) Xeva_1.22.0.tgz
macOS Binary (arm64) Xeva_1.22.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/Xeva
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/Xeva
Bioc Package Browser https://code.bioconductor.org/browse/Xeva/
Package Short Url https://bioconductor.org/packages/Xeva/
Package Downloads Report Download Stats