GatekeepR: an R Shiny application for the identification of nodes with high dynamic impact in Boolean networks.

ABSTRACT:

Motivation

Boolean networks can serve as straightforward models for understanding processes such as gene regulation, and employing logical rules. These rules can either be derived from existing literature or by data-driven approaches. However, in the context of large networks, the exhaustive search for intervention targets becomes challenging due to the exponential expansion of a Boolean network's state space and the multitude of potential target candidates, along with their various combinations. Instead, we can employ the logical rules and resultant interaction graph as a means to identify targets of specific interest within larger-scale models. This approach not only facilitates the screening process but also serves as a preliminary filtering step, enabling the focused investigat

SUBMITTER: Weidner FM 

PROVIDER: S-EPMC11616774 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature