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2014 | OriginalPaper | Chapter

Inference of Optimized Control Strategies for Genetic Networks

Author : Natalja Strelkowa

Published in: ISCS 2013: Interdisciplinary Symposium on Complex Systems

Publisher: Springer Berlin Heidelberg

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Abstract

In this chapter we present the application of control theoretical concepts to stochastic dynamical systems which are based on the current knowledge of genetic networks. We showcase the application of reinforcement learning algorithm inferring an optimized control strategy for a genetic switch reversal. The approach does not require precise knowledge of gene network mathematical equations and is therefore also applicable to experimentally obtained time traces.

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Metadata
Title
Inference of Optimized Control Strategies for Genetic Networks
Author
Natalja Strelkowa
Copyright Year
2014
Publisher
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-642-45438-7_26

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