WpLogicNet: logic gate and structure inference in gene regulatory networks.

ABSTRACT:

Motivation

The gene regulatory process resembles a logic system in which a target gene is regulated by a logic gate among its regulators. While various computational techniques are developed for a gene regulatory network (GRN) reconstruction, the study of logical relationships has received little attention. Here, we propose a novel tool called wpLogicNet that simultaneously infers both the directed GRN structures and logic gates among genes or transcription factors (TFs) that regulate their target genes, based on continuous steady-state gene expressions.

Results

wpLogicNet proposes a framework to infer the logic gates among any number of regulators, with a low time-complexity. This distinguishes wpLogicNet from the existing logic-based models that are limited to inferring th

SUBMITTER: Malekpour SA 

PROVIDER: S-EPMC9936836 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature