GMRP

DOI:10.18129/B9.bioc.GMRP

GWAS-based Mendelian Randomization and Path Analyses

Bioconductor version: Release (3.13)

Perform Mendelian randomization analysis of multiple SNPs to determine risk factors causing disease of study and to exclude confounding variabels and perform path analysis to construct path of risk factors to the disease.

Author: Yuan-De Tan

Maintainer: Yuan-De Tan

Installation

To install this package, start R (version "4.1") and enter:

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

For older versions of R, please refer to the appropriateBioconductor release.

Documentation

查看文档的版本包age installed in your system, start R and enter:

browseVignettes("GMRP")

PDF	R Script	Causal Effect Analysis of Risk Factors for Disease with the "GMRP" package
PDF		GMRP-manual.pdf
PDF		Reference Manual

Details

biocViews	2021年欧洲杯 ,2021年欧洲杯 ,2021年欧洲杯 ,2021年欧洲杯
Version	1.20.0
In Bioconductor since	BioC 3.3 (R-3.3) (5 years)
License	GPL (>= 2)
Depends	R (>= 3.3.0), stats, utils, graphics, grDevices,diagram,plotrix, base,GenomicRanges
Imports
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Suggests	BiocStyle,BiocGenerics
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Build Report

Package Archives

Follow2021年欧洲杯比分预测 instructions to use this package in your R session.

Source Package	GMRP_1.20.0.tar.gz
Windows Binary	GMRP_1.20.0.zip(32- & 64-bit)
macOS 10.13 (High Sierra)	GMRP_1.20.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/GMRP
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/GMRP
Package Short Url	//www.andersvercelli.com/packages/GMRP/
Package Downloads Report	Download Stats