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Digital Signal Processing and Control for the Study of Gene Networks

Thanks to the digital revolution, digital signal processing and control has been widely used in many areas of science and engineering today. It provides practical and powerful tools to model, simulate, analyze, design, measure, and control complex and dynamic systems such as robots and aircrafts. Ge...

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Detalles Bibliográficos
Autor principal: Shin, Yong-Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4840392/
https://www.ncbi.nlm.nih.gov/pubmed/27102828
http://dx.doi.org/10.1038/srep24733
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author Shin, Yong-Jun
author_facet Shin, Yong-Jun
author_sort Shin, Yong-Jun
collection PubMed
description Thanks to the digital revolution, digital signal processing and control has been widely used in many areas of science and engineering today. It provides practical and powerful tools to model, simulate, analyze, design, measure, and control complex and dynamic systems such as robots and aircrafts. Gene networks are also complex dynamic systems which can be studied via digital signal processing and control. Unlike conventional computational methods, this approach is capable of not only modeling but also controlling gene networks since the experimental environment is mostly digital today. The overall aim of this article is to introduce digital signal processing and control as a useful tool for the study of gene networks.
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spelling pubmed-48403922016-04-28 Digital Signal Processing and Control for the Study of Gene Networks Shin, Yong-Jun Sci Rep Article Thanks to the digital revolution, digital signal processing and control has been widely used in many areas of science and engineering today. It provides practical and powerful tools to model, simulate, analyze, design, measure, and control complex and dynamic systems such as robots and aircrafts. Gene networks are also complex dynamic systems which can be studied via digital signal processing and control. Unlike conventional computational methods, this approach is capable of not only modeling but also controlling gene networks since the experimental environment is mostly digital today. The overall aim of this article is to introduce digital signal processing and control as a useful tool for the study of gene networks. Nature Publishing Group 2016-04-22 /pmc/articles/PMC4840392/ /pubmed/27102828 http://dx.doi.org/10.1038/srep24733 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Shin, Yong-Jun
Digital Signal Processing and Control for the Study of Gene Networks
title Digital Signal Processing and Control for the Study of Gene Networks
title_full Digital Signal Processing and Control for the Study of Gene Networks
title_fullStr Digital Signal Processing and Control for the Study of Gene Networks
title_full_unstemmed Digital Signal Processing and Control for the Study of Gene Networks
title_short Digital Signal Processing and Control for the Study of Gene Networks
title_sort digital signal processing and control for the study of gene networks
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4840392/
https://www.ncbi.nlm.nih.gov/pubmed/27102828
http://dx.doi.org/10.1038/srep24733
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