qpgraph
Estimation of Genetic and Molecular Regulatory Networks from High-Throughput Genomics Data
Bioconductor version: 3.23 · Package version: 2.46.0
Estimate gene and eQTL networks from high-throughput expression and genotyping assays.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("qpgraph")Details
| Maintainer | Robert Castelo <robert.castelo@upf.edu> |
| Author | Robert Castelo [aut, cre], Alberto Roverato [aut] |
| License | GPL (>= 2) |
| URL | https://github.com/rcastelo/qpgraph |
| Bug Reports | https://github.com/rcastelo/qpgraph/issues |
| Downloads rank | 720 |
| Source branch | RELEASE_3_23 |
| biocViews | GeneExpression, GeneRegulation, GeneticVariability, Genetics, GraphAndNetwork, Microarray, NetworkInference, Pathways, SNP, Software, Transcription |
Documentation
- Estimate eQTL networks using qpgraph
- Reverse-engineer transcriptional regulatory networks using qpgraph
- Simulating molecular regulatory networks using qpgraph
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Dependencies
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
Suggests: RUnit, BiocGenerics, BiocStyle, genefilter, org.EcK12.eg.db, rlecuyer, snow, Category, GOstats
Reverse dependencies
Imports Me (3): clipper, MOSClip, topologyGSA