DOI: 10.18129/B9.bioc.qpgraph    

This is the development version of qpgraph; to use it, please install the devel version of Bioconductor.

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

Bioconductor version: Development (3.10)

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


biocViews GeneExpression, GeneRegulation, GeneticVariability, Genetics, GraphAndNetwork, Microarray, NetworkInference, Pathways, SNP, Software, Transcription
Version 2.19.0
In Bioconductor since BioC 2.4 (R-2.9) (10 years)
License GPL (>= 2)
Depends R (>= 3.4)
Imports methods, parallel, Matrix (>= 1.0), 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_2.19.0.tar.gz
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Package Short Url http://bioconductor.org/packages/qpgraph/
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