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.

Menu

Documentation:

R / CRAN packages and documentation

Support

Please read the posting guide. Post questions about Bioconductor to one of the following locations:

AffiXcan

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

A Functional Approach To Impute Genetically Regulated Expression

Bioconductor version: Development (3.18)

Impute a GReX (Genetically Regulated Expression) for a set of genes in a sample of individuals, using a method based on the Total Binding Affinity (TBA). Statistical models to impute GReX can be trained with a training dataset where the real total expression values are known.

Author: Alessandro Lussana [aut, cre]

Maintainer: Alessandro Lussana <alessandro.lussana at protonmail.com>

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

Installation

To install this package, start R (version "4.3") and enter: 

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

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

BiocManager::install("AffiXcan")

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("AffiXcan")
AffiXcan HTML R Script
Reference Manual PDF
NEWS Text

Details

biocViews DimensionReduction, GeneExpression, GeneRegulation, PrincipalComponent, Regression, Software, Transcription
Version 1.19.0
In Bioconductor since BioC 3.8 (R-3.5) (5 years)
License GPL-3
Depends R (>= 3.6), SummarizedExperiment
Imports MultiAssayExperiment, BiocParallel, crayon
Linking To
Suggests BiocStyle, knitr, rmarkdown
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 AffiXcan_1.19.0.tar.gz
Windows Binary AffiXcan_1.19.0.zip
macOS Binary (x86_64) AffiXcan_1.19.0.tgz
macOS Binary (arm64) AffiXcan_1.19.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/AffiXcan
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/AffiXcan
Bioc Package Browser https://code.bioconductor.org/browse/AffiXcan/
Package Short Url https://bioconductor.org/packages/AffiXcan/
Package Downloads Report Download Stats