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Article: Delay Discrete Dynamical Models for Genetic Regulatory Networks
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TitleDelay Discrete Dynamical Models for Genetic Regulatory Networks
 
AuthorsJiang, H
Ching, WK
Aoki-Kinoshita, KF
Guo, D
 
KeywordsGene Regulatory Networks
Linear Multiple Regression
Discrete Dynamic System Model
k-means Clustering
 
Issue Date2010
 
PublisherWorld Publishing Corporation. The Journal's web site is located at http://www.aporc.org/LNOR/
 
CitationLecture Notes in Operations Research, 2010, v. 13, p. 93-100 [How to Cite?]
 
AbstractIn this paper, we study the problem of constructing a regulatory network of yeast in oxidative stress process. Discrete Dynamic System (DDS) model has been introduced in describing Gene Regulatory Networks (GRNs). However, delay effect was not taken into consideration within the model. A Time-delay DDS model composed of linear difference equations is developed to represent temporal interactions among significantly expressed genes. Interpolation and re-sampling are imposed to equalize the non-uniformity of sampling time points. Statistical significance plays an active role in obtaining the optimal interaction matrix of GRNs. The constructed gene network using linear multiple regression has a very good match with the original data. Simulation results are given to demonstrate the effectiveness of our proposed model.
 
DescriptionThe Fourth International Conference on Computational Systems Biology (ISB2010) Suzhou, China, 9-11 September, 2010
The electronic version can be downloaded from APORC website: http://www.aporc.org/LNOR/13/ISB2010F15.pdf
 
ISBN9787510024078
 
DC FieldValue
dc.contributor.authorJiang, H
 
dc.contributor.authorChing, WK
 
dc.contributor.authorAoki-Kinoshita, KF
 
dc.contributor.authorGuo, D
 
dc.date.accessioned2010-10-31T14:18:31Z
 
dc.date.available2010-10-31T14:18:31Z
 
dc.date.issued2010
 
dc.description.abstractIn this paper, we study the problem of constructing a regulatory network of yeast in oxidative stress process. Discrete Dynamic System (DDS) model has been introduced in describing Gene Regulatory Networks (GRNs). However, delay effect was not taken into consideration within the model. A Time-delay DDS model composed of linear difference equations is developed to represent temporal interactions among significantly expressed genes. Interpolation and re-sampling are imposed to equalize the non-uniformity of sampling time points. Statistical significance plays an active role in obtaining the optimal interaction matrix of GRNs. The constructed gene network using linear multiple regression has a very good match with the original data. Simulation results are given to demonstrate the effectiveness of our proposed model.
 
dc.descriptionThe Fourth International Conference on Computational Systems Biology (ISB2010) Suzhou, China, 9-11 September, 2010
 
dc.descriptionThe electronic version can be downloaded from APORC website: http://www.aporc.org/LNOR/13/ISB2010F15.pdf
 
dc.identifier.citationLecture Notes in Operations Research, 2010, v. 13, p. 93-100 [How to Cite?]
 
dc.identifier.epage100
 
dc.identifier.hkuros179083
 
dc.identifier.isbn9787510024078
 
dc.identifier.openurl
 
dc.identifier.spage93
 
dc.identifier.urihttp://hdl.handle.net/10722/128314
 
dc.identifier.volume13
 
dc.languageeng
 
dc.publisherWorld Publishing Corporation. The Journal's web site is located at http://www.aporc.org/LNOR/
 
dc.relation.ispartofLecture Notes in Operations Research
 
dc.subjectGene Regulatory Networks
 
dc.subjectLinear Multiple Regression
 
dc.subjectDiscrete Dynamic System Model
 
dc.subjectk-means Clustering
 
dc.titleDelay Discrete Dynamical Models for Genetic Regulatory Networks
 
dc.typeArticle
 
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