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 DataBioconductor version: Development (3.22)
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, entercitation("qpgraph")
): Installation
To install this package, start R (version "4.5") 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.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("qpgraph")
BasicUsersGuide.pdf PDF Estimate eQTL networks using qpgraph PDF R Script Reverse-engineer transcriptional regulatory networks using qpgraph PDF R Script Simulating molecular regulatory networks using qpgraph PDF R Script Reference Manual PDF NEWS Text Details biocViews GeneExpression, GeneRegulation, GeneticVariability, Genetics, GraphAndNetwork, Microarray, NetworkInference, Pathways, SNP, Software, Transcription Version 2.43.0 In Bioconductor since BioC 2.4 (R-2.9) (16 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, GenomeInfoDb, 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 Linking To Enhances Depends On Me Imports Me clipper, MOSClip, topologyGSA Suggests Me Links To Me Build Report Build Report Package Archives
Follow Installation instructions to use this package in your R session.
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