This is the development version of bnem; for the stable release version, see bnem.
Training of logical models from indirect measurements of perturbation experimentsBioconductor version: Development (3.22)
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).
Author: Martin Pirkl [aut, cre]
Maintainer: Martin Pirkl <martinpirkl at yahoo.de>
Citation (from within R, entercitation("bnem")): 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("bnem")
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("bnem")Follow Installation instructions to use this package in your R session.
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