On the Number of Observation Nodes in Boolean Networks
Liangjie Sun, Wai-Ki Ching, Tatsuya Akutsu

TL;DR
This paper investigates the bounds on the number of observation nodes needed for different types of Boolean networks to be observable, providing new theoretical limits using entropy, counting, and combinatorial methods.
Contribution
It introduces novel techniques to derive lower and upper bounds on observation nodes for various Boolean network models, filling a gap in the existing literature.
Findings
Lower bounds depend on network type and are derived using entropy and counting methods.
Upper bounds are established through combinatorial analysis for different network classes.
The bounds provide practical guidelines for designing observable Boolean networks.
Abstract
A Boolean network (BN) is called observable if any initial state can be uniquely determined from the output sequence. In the existing literature on observability of BNs, there is almost no research on the relationship between the number of observation nodes and the observability of BNs, which is an important and practical issue. In this paper, we mainly focus on three types of BNs with nodes (i.e., -AND-OR-BNs, -XOR-BNs, and -NC-BNs, where is the number of input nodes for each node and NC means nested canalyzing) and study the upper and lower bounds of the number of observation nodes for these BNs. First, we develop a novel technique using information entropy to derive a general lower bound of the number of observation nodes, and conclude that the number of observation nodes cannot be smaller than to ensure…
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Taxonomy
TopicsGene Regulatory Network Analysis · Formal Methods in Verification · DNA and Biological Computing
MethodsFocus
