A Unified Approach to Reverse Engineering and Data Selection for Unique Network Identification
Author:
Affiliation:
1. Mathematics Department, University of Dayton, Dayton, OH 45469 USA.
2. Mathematics Department, California Polytechnic State University (Cal Poly), San Luis Obispo, CA 93407 USA.
Funder
Simons Foundation
Research, Scholarly, & Creative Activities Program
Cal Poly Division of Research, Economic Development, & Graduate Education
Publisher
Society for Industrial & Applied Mathematics (SIAM)
Subject
Modeling and Simulation,Analysis
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1. The topology of the regulatory interactions predicts the expression pattern of the segment polarity genes in Drosophila melanogaster
2. Topological constraints on network control profiles
3. A Survey of Stanley–Reisner Theory
4. An analysis of the class of gene regulatory functions implied by a biochemical model
5. Geometric Characterization of Data Sets with Unique Reduced Gröbner Bases
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