40 citations · 119 across the 12 of their papers we have counts for
12 papers
A unified approach to reverse engineering and data selection for unique network identification
Alan Veliz-Cuba, Vanessa Newsome-Slade, Elena S. Dimitrova
Due to cost concerns, it is optimal to gain insight into the connectivity of biological and other networks using as few experiments as possible. Data selection for unique network c…
Estimating the Long-term Behavior of Biologically Inspired Agent-based Models
Daniel A. Cruz, Jack Toppen, Eunbi Park +2
An agent-based model (ABM) is a computational model in which the local interactions of autonomous agents with each other and with their environment give rise to global properties w…
Algebraic Experimental Design: Theory and Computation
Elena S. Dimitrova, Cameron H. Fredrickson, Nicholas A. Rondoni +2
Over the past several decades, algebraic geometry has provided innovative approaches to biological experimental design that resolved theoretical questions and improved computationa…
Revealing the canalizing structure of Boolean functions: Algorithms and applications
Elena Dimitrova, Brandilyn Stigler, Claus Kadelka +1
Boolean functions can be represented in many ways including logical forms, truth tables, and polynomials. Additionally, Boolean functions have different canonical representations s…
Algebraic Model Selection and Experimental Design in Biological Data Science
Anyu Zhang, Jingzhen Hu, Qingzhong Liang +2
Design of experiments and model selection, though essential steps in data science, are usually viewed as unrelated processes in the study and analysis of biological networks. Not a…
Quantifying the Total Effect of Edge Interventions in Discrete Multistate Networks
David Murrugarra, Elena Dimitrova
Developing efficient computational methods to assess the impact of external interventions on the dynamics of a network model is an important problem in systems biology. This paper…