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AffiXcan

This is the released version of AffiXcan; for the devel version, see AffiXcan.

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8

A Functional Approach To Impute Genetically Regulated Expression


Bioconductor version: Release (3.23)

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")):

Alessandro Lussana. AffiXcan: A Functional Approach To Impute Genetically Regulated Expression. doi:10.18129/B9.bioc.AffiXcan, R package version 1.30.0, https://bioconductor.org/packages/AffiXcan.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

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

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 ManualPDF
NEWSText

Details

biocViews DimensionReduction, GeneExpression, GeneRegulation, PrincipalComponent, Regression, Software, Transcription
Version1.30.0
In Bioconductor sinceBioC 3.8 (R-3.5) (8 years)
License GPL-3
Depends R (>= 3.6), SummarizedExperiment
Imports MultiAssayExperiment, BiocParallel, crayon
System Requirements
URL
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Suggests BiocStyle, knitr, rmarkdown
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Depends On Me
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Build Report Build Report, r-universe

Package Archives

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

Source Package AffiXcan_1.30.0.tar.gz
Windows Binary (x86_64) AffiXcan_1.30.0.zip
macOS Binary (big-sur-x86_64) AffiXcan_1.30.0.tgz
macOS Binary (sonoma-arm64) AffiXcan_1.30.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/AffiXcan
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/AffiXcan
Package Short Url https://bioconductor.org/packages/AffiXcan/
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