Analysis of Boolean Functions based on Interaction Graphs and their influence in System Biology
For systems biologists, this offers a qualitative modeling approach, but the contribution is incremental and lacks validation.
This paper proposes a novel method to construct interaction graphs from Boolean function decomposition for modeling biological systems, but no concrete results or performance metrics are provided.
Interaction graphs provide an important qualitative modeling approach for System Biology. This paper presents a novel approach for construction of interaction graph with the help of Boolean function decomposition. Each decomposition part (Consisting of 2-bits) of the Boolean functions has some important significance. In the dynamics of a biological system, each variable or node is nothing but gene or protein. Their regulation has been explored in terms of interaction graphs which are generated by Boolean functions. In this paper, different classes of Boolean functions with regards to Interaction Graph with biologically significant properties have been adumbrated.