DOI: 10.18129/B9.bioc.qpgraph  

This package is for version 3.16 of Bioconductor; for the stable, up-to-date release version, see qpgraph.

Estimation of genetic and molecular regulatory networks from high-throughput genomics data

Bioconductor version: 3.16

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")):


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PDF BasicUsersGuide.pdf
PDF R Script 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   Reference Manual
Text   NEWS


biocViews GeneExpression, GeneRegulation, GeneticVariability, Genetics, GraphAndNetwork, Microarray, NetworkInference, Pathways, SNP, Software, Transcription
Version 2.32.2
In Bioconductor since BioC 2.4 (R-2.9) (14 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
Suggests RUnit, BiocGenerics, BiocStyle, genefilter, org.EcK12.eg.db, rlecuyer, snow, Category, GOstats
URL https://github.com/rcastelo/qpgraph
BugReports https://github.com/rcastelo/rcastelo/issues
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Source Package qpgraph_2.32.2.tar.gz
Windows Binary qpgraph_2.32.2.zip
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Source Repository git clone https://git.bioconductor.org/packages/qpgraph
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/qpgraph
Bioc Package Browser https://code.bioconductor.org/browse/qpgraph/
Package Short Url https://bioconductor.org/packages/qpgraph/
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