simPATHy: A Method for Simulating Data from Perturbed Biological Pathways

Simulate data from a Gaussian graphical model or a Gaussian Bayesian network in two conditions. Given a covariance matrix of a reference condition simulate plausible disregulations. See Salviato et al. (2017) <doi:10.1093/bioinformatics/btw642>.

Version: 0.6
Depends: R (≥ 3.0)
Imports: mvtnorm, gRbase, graph, igraph, ggm, qpgraph, R.utils, htmlwidgets, shiny, shinydashboard , grDevices, graphics
Suggests: knitr, rmarkdown, clipper, topologyGSA
Published: 2021-11-23
Author: Elisa Salviato [aut, cre], Vera Djordjilovic [aut], Chiara Romualdi [aut], Monica Chiogna [aut]
Maintainer: Elisa Salviato <elisa.salviato.88 at>
License: AGPL-3
NeedsCompilation: no
CRAN checks: simPATHy results


Reference manual: simPATHy.pdf
Vignettes: simPATHy


Package source: simPATHy_0.6.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): simPATHy_0.6.tgz, r-oldrel (arm64): simPATHy_0.6.tgz, r-release (x86_64): simPATHy_0.6.tgz, r-oldrel (x86_64): not available
Old sources: simPATHy archive


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