Xeva

DOI: 10.18129/B9.bioc.Xeva    

This is the development version of Xeva; to use it, please install the devel version of Bioconductor.

Analysis of patient-derived xenograft (PDX) data

Bioconductor version: Development (3.10)

Contains set of functions to perform analysis of patient-derived xenograft (PDX) data.

Author: Arvind Mer, Benjamin Haibe-Kains

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 "3.6") and enter:

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

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

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")

 

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

Details

biocViews Classification, GeneExpression, Pharmacogenetics, Pharmacogenomics, Software
Version 1.1.0
In Bioconductor since BioC 3.9 (R-3.6) (< 6 months)
License GPL-3
Depends R (>= 3.6)
Imports methods, stats, utils, BBmisc, Biobase, grDevices, ggplot2, scales, ComplexHeatmap, parallel, doParallel, Rmisc, grid, nlme, PharmacoGx, downloader
LinkingTo
Suggests BiocStyle, knitr, rmarkdown
SystemRequirements
Enhances
URL
BugReports https://github.com/bhklab/Xeva/issues
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 Xeva_1.1.0.tar.gz
Windows Binary Xeva_1.1.0.zip
Mac OS X 10.11 (El Capitan) Xeva_1.1.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/Xeva
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/Xeva
Package Short Url https://bioconductor.org/packages/Xeva/
Package Downloads Report Download Stats

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