Boolean network sketches: a unifying framework for logical model inference.

ABSTRACT:

Motivation

The problem of model inference is of fundamental importance to systems biology. Logical models (e.g. Boolean networks; BNs) represent a computationally attractive approach capable of handling large biological networks. The models are typically inferred from experimental data. However, even with a substantial amount of experimental data supported by some prior knowledge, existing inference methods often focus on a small sample of admissible candidate models only.

Results

We propose Boolean network sketches as a new formal instrument for the inference of Boolean networks. A sketch integrates (typically partial) knowledge about the network's topology and the update logic (obtained through, e.g. a biological knowledge base or a literature search), as well as further a

SUBMITTER: Benes N 

PROVIDER: S-EPMC10122605 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature