Vistla: identifying influence paths with information theory.

ABSTRACT:

Motivation

It is a challenging task to decipher the mechanisms of a complex system from observational data, especially in biology, where systems are sophisticated, measurements coarse, and multi-modality common. The typical approaches of inferring a network of relationships between a system's components struggle with the quality and feasibility of estimation, as well as with the interpretability of the results they yield. Said issues can be avoided, however, when dealing with a simpler problem of tracking only the influence paths, defined as circuits relying on the information of an experimental perturbation as it spreads through the system. Such an approach can be formalized with information theory and leads to a relatively streamlined, interpretable output, in contrast to the inc

SUBMITTER: Kursa MB 

PROVIDER: S-EPMC11806950 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature