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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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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group
2016
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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. |
format | Online Article Text |
id | pubmed-4840392 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT shinyongjun digitalsignalprocessingandcontrolforthestudyofgenenetworks |