- Parameter Space Decomposition of Regulatory Networks with Multiple Thresholds
- Project Year:
2020
- REU Student (s):
Adam Zheleznyak | University of Pennsylvania PA
- Student 1 Institution:
University of Pennsylvania
- Project Mentor:
Konstantin Mischaikow
- Project Mentor Area:
Mathematics
- Project Abstract:
The software Dynamic Signatures Generated by Regulatory Networks (DSGRN) allows for a nearly instantaneous computational analysis of the global dynamics of (genetic) regulatory networks. There is a great need to further understand biologically relevant regulatory networks, which motivates the development of the techniques employed by DSGRN. In order to expand and enrich the abilities of DSGRN, I consider a generalized regulatory network which gives greater flexibility to the interactions between the nodes of the network. This flexibility arises from the introduction of multiple threshold interactions between species. In order to allow DSGRN to handle these generalized regulatory networks, a new kind of parameter space decomposition is required. This parameter space decomposition consists of calculating which parameter sets are possible for the regulatory network. For my project, I developed code to compute this decomposition and store the results in a database. This database can be used by DSGRN in the future in order to handle regulatory networks with multiple thresholds.
