Decomposition with respect to outputs for Boolean control networks
Yunlei Zou, Jiandong Zhu

TL;DR
This paper presents algebraic and graphical conditions for decomposing Boolean control networks with respect to outputs, along with an efficient method to implement the decomposition and validation through examples.
Contribution
It introduces a novel algebraic and graphical framework for output-based decomposition of BCNs and proposes a computationally efficient realization method.
Findings
Derived algebraic conditions for BCN decomposition
Established a necessary and sufficient graphical condition
Validated the method with practical examples
Abstract
This paper investigates the problem of decomposition with respect to outputs for Boolean control networks (BCNs). First, with the linear expression of BCNs and the matrix semi-tensor product, some algebraic equivalent conditions for the decomposition are obtained. Second, a necessary and sufficient graphical condition for the decomposition with respect to outputs is given. Third, an effective method is proposed to reduce the computational burden in the realization of the decomposition. Finally, some examples are addressed to validate the effectiveness of the proposed method.
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 · Formal Methods in Verification · Microbial Metabolic Engineering and Bioproduction
