On the analysis of time-delayed interactions in genetic network using S-system model

The Gene Regulatory Network (GRN) is the collection of genes and interactions among them, which captures the mutual interactions among genes. Amongst the various currently available models for inferring GRN, the S-System formalism is often considered as an excellent compromise between accuracy and mathematical tractability, although limited to represent the instantaneous interactions only. Recently proposed Time-delayed S-System Model (TDSS), an improved version of the traditional S-System model, is capable of representing the delayed interactions present in the genetic network. In this paper, we have shown the results of extensive analysis performed on TDSS over a widely used synthetic network. The two well-known performance measures applied to the synthetic network with various time-delayed regulations clearly demonstrate that the TDSS can capture both the instantaneous and delayed interactions correctly with high precision. Further, we have shown the effect of various samples sizes during the optimization where average error for the inferred parameters are reported and compared with an existing state-or-the-art algorithm. © Springer-Verlag 2013