Shaping and Dilating the Fitness Landscape for Parameter Estimation in Stochastic Biochemical Models

Shaping and Dilating the Fitness Landscape for Parameter Estimation in Stochastic Biochemical Models

The parameter estimation (PE) of biochemical reactions is one of the most challenging tasks in systems biology given the pivotal role of these kinetic constants in driving the behavior of biochemical systems. PE is a non-convex, multi-modal, and non-separable optimization problem with an unknown fit...

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Bibliographic Details
Main Authors: Marco S. Nobile, Daniele M. Papetti, Simone Spolaor, Paolo Cazzaniga, Luca Manzoni
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Applied Sciences
Subjects:
parameter estimation
fitness landscape manipulation
stochastic simulation
biochemical models
Fourier surrogate modeling
dilation functions
Online Access:https://www.mdpi.com/2076-3417/12/13/6671

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https://www.mdpi.com/2076-3417/12/13/6671

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