Traces information spread through interactions between features, utilising information theory measures and a higher-order generalisation of the concept of widest paths in graphs. In particular, 'vistla' can be used to better understand the results of high-throughput biomedical experiments, by organising the effects of the investigated intervention in a tree-like hierarchy from direct to indirect ones, following the plausible information relay circuits. Due to its higher-order nature, 'vistla' can handle multi-modality and assign multiple roles to a single feature.
Version: | 2.1.0 |
Depends: | R (≥ 3.5.0) |
Imports: | grid |
Published: | 2025-02-06 |
DOI: | 10.32614/CRAN.package.vistla |
Author: | Miron B. Kursa [aut, cre] |
Maintainer: | Miron B. Kursa <m at mbq.me> |
BugReports: | https://gitlab.com/mbq/vistla/-/issues |
License: | GPL (≥ 3) |
URL: | https://gitlab.com/mbq/vistla |
NeedsCompilation: | yes |
Language: | en-GB |
Citation: | vistla citation info |
Materials: | NEWS |
CRAN checks: | vistla results [issues need fixing before 2025-02-20] |
Reference manual: | vistla.pdf |
Vignettes: |
Vistla walkthrough (source, R code) |
Package source: | vistla_2.1.0.tar.gz |
Windows binaries: | r-devel: vistla_2.1.0.zip, r-release: vistla_2.0.4.zip, r-oldrel: vistla_2.0.4.zip |
macOS binaries: | r-release (arm64): vistla_2.1.0.tgz, r-oldrel (arm64): vistla_2.0.3.tgz, r-release (x86_64): vistla_2.1.0.tgz, r-oldrel (x86_64): vistla_2.0.3.tgz |
Old sources: | vistla archive |
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