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 Field
Value
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