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.
|Author||Miron B. Kursa [aut, cre] (<https://orcid.org/0000-0001-7672-648X>)|
|Maintainer||Miron B. Kursa <firstname.lastname@example.org>|
|License||GPL (>= 3)|
|Package repository||View on CRAN|
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