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bnem

Training of logical models from indirect measurements of perturbation experiments

Bioconductor version: 3.23 · Package version: 1.20.0

Other Bioconductor versions

devel is the development version; release is the current stable one.

3.24 (devel), 3.23 (release)

bnem combines the use of indirect measurements of Nested Effects Models (package mnem) with the Boolean networks of CellNOptR. Perturbation experiments of signalling nodes in cells are analysed for their effect on the global gene expression profile. Those profiles give evidence for the Boolean regulation of down-stream nodes in the network, e.g., whether two parents activate their child independently (OR-gate) or jointly (AND-gate).

DOI: 10.18129/B9.bioc.bnem

Installation

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

BiocManager::install("bnem")

Details

MaintainerMartin Pirkl <martinpirkl@yahoo.de>
AuthorMartin Pirkl [aut, cre]
LicenseGPL-3
URLhttps://github.com/MartinFXP/bnem/
Bug Reportshttps://github.com/MartinFXP/bnem/issues
Source branchRELEASE_3_23
Build report Bioconductor build system, r-universe
biocViewsGeneExpression, GeneRegulation, Network, NetworkInference, Pathways, Preprocessing, Software, SystemsBiology
Package Short Url https://bioconductor.org/packages/bnem/

Citation

From within R, enter citation("bnem"):

Martin Pirkl. bnem: Training of logical models from indirect measurements of perturbation experiments. doi:10.18129/B9.bioc.bnem, R package version 1.20.0, https://bioconductor.org/packages/bnem.

Generated from the package metadata; it may differ from the package's own citation.

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packagebnem_1.20.0.tar.gz
Windows binary (x86_64)bnem_1.20.0.zip
macOS binary (arm64)bnem_1.20.0.tgz
macOS binary (x86_64)bnem_1.20.0.tgz
Dependencies

Depends: R (>= 4.1)

Imports: CellNOptR, matrixStats, snowfall, Rgraphviz, cluster, flexclust, stats, RColorBrewer, epiNEM, mnem, Biobase, methods, utils, graphics, graph, affy, binom, limma, sva, vsn, rmarkdown

Suggests: knitr, BiocGenerics, MatrixGenerics, BiocStyle, RUnit