ZICS: an application for calculating the stationary probability distribution of stochastic reaction networks
Michail Vlysidis, Andrew C. Schiek, Yiannis N. Kaznessis

TL;DR
ZICS is a free application that implements a numerical method to efficiently compute the stationary probability distributions of stochastic reaction networks, aiding biological system analysis.
Contribution
The paper introduces ZICS, a free software tool based on the ZI-closure scheme, providing a practical solution for calculating stationary distributions in stochastic reaction networks.
Findings
Enables efficient computation of stationary distributions.
Supports analysis of biological stochastic systems.
Provides an accessible tool for researchers.
Abstract
Stochastic formalisms are necessary to describe the behavior of many biological systems. However, there remains a lack of numerical methods available to calculate the stationary probability distributions of stochastic reaction networks. We have previously development a numerical approach to calculate stationary probability distributions of stochastic networks, named ZI closure scheme. In this work, we present a free applications based on ZI-closure scheme, called ZICS.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsGene Regulatory Network Analysis · Bioinformatics and Genomic Networks · Microbial Metabolic Engineering and Bioproduction
