15 citations · 15 across the 5 of their papers we have counts for
6 papers
Bayesian Uncertainty Quantification for Systems Biology Models Parameterized Using Qualitative Data
Eshan D. Mitra, William S. Hlavacek
Motivation: Recent work has demonstrated the feasibility of using non-numerical, qualitative data to parameterize mathematical models. However, uncertainty quantification (UQ) of s…
Parameter Estimation and Uncertainty Quantification for Systems Biology Models
Eshan D. Mitra, William S. Hlavacek
Mathematical models can provide quantitative insight into immunoreceptor signaling, but require parameterization and uncertainty quantification before making reliable predictions.…
PyBioNetFit and the Biological Property Specification Language
Eshan D. Mitra, Ryan Suderman, Joshua Colvin +5
In systems biology modeling, important steps include model parameterization, uncertainty quantification, and evaluation of agreement with experimental observations. To help modeler…
A Step-by-Step Guide to Using BioNetFit
William S. Hlavacek, Jennifer Longo, Lewis R. Baker +9
BioNetFit is a software tool designed for solving parameter identification problems that arise in the development of rule-based models. It solves these problems through curve fitti…
Computation of a Theoretical Membrane Phase Diagram, and the Role of Phase in Lipid Raft-Mediated Protein Organization
Eshan D. Mitra, Samuel C. Whitehead, David Holowka +2
Lipid phase heterogeneity in the plasma membrane is thought to be crucial for many aspects of cell signaling, but the physical basis of participating membrane domains such as "lipi…
Generalizing Gillespie's direct method to enable network-free simulations
Ryan Suderman, Eshan D. Mitra, Yen Ting Lin +3
Gillespie's direct method for stochastic simulation of chemical kinetics is a staple of computational systems biology research. However, the algorithm requires explicit enumeration…