Bioconductor 3.22 Released

qpgraph

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

Estimation of Genetic and Molecular Regulatory Networks from High-Throughput Genomics Data


Bioconductor version: Development (3.23)

Estimate gene and eQTL networks from high-throughput expression and genotyping assays.

Author: Robert Castelo [aut, cre], Alberto Roverato [aut]

Maintainer: Robert Castelo <robert.castelo at upf.edu>

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

Installation

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


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

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

BiocManager::install("qpgraph")

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

Documentation

Reference Manual PDF

Details

biocViews GeneExpression, GeneRegulation, GeneticVariability, Genetics, GraphAndNetwork, Microarray, NetworkInference, Pathways, SNP, Software, Transcription
Version 2.45.0
In Bioconductor since BioC 2.4 (R-2.9) (16.5 years)
License GPL (>= 2)
Depends R (>= 3.5)
Imports methods, parallel, Matrix (>= 1.5-0), grid, annotate, graph(>= 1.45.1), Biobase, S4Vectors, BiocParallel, AnnotationDbi, IRanges, Seqinfo, GenomicRanges, GenomicFeatures, mvtnorm, qtl, Rgraphviz
System Requirements
URL https://github.com/rcastelo/qpgraph
Bug Reports https://github.com/rcastelo/qpgraph/issues
See More
Suggests RUnit, BiocGenerics, BiocStyle, genefilter, org.EcK12.eg.db, rlecuyer, snow, Category, GOstats
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Package Archives

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

Source Package
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/qpgraph
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/qpgraph
Package Short Url https://bioconductor.org/packages/qpgraph/
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