vistla
Detecting Influence Paths with Information Theory
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.
- Version2.1.0
- R versionR (≥ 3.5.0)
- LicenseGPL (≥ 3)
- Needs compilation?Yes
- Languageen-GB
- vistla citation info
- Last release02/06/2025
Documentation
Team
Miron B. Kursa
MaintainerShow author details
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