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Molecules 2010, 15(8), 5354-5368; doi:10.3390/molecules15085354

Effects of Time Point Measurement on the Reconstruction of Gene Regulatory Networks

Center for Systems Biology, Soochow University, 1st Shizi Street, Suzhou, Jiangsu 215006, China
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Received: 5 July 2010 / Revised: 30 July 2010 / Accepted: 2 August 2010 / Published: 4 August 2010
(This article belongs to the Special Issue From Computational Chemistry to Complex Networks)
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Abstract

With the availability of high-throughput gene expression data in the post-genomic era, reconstruction of gene regulatory networks has become a hot topic. Regulatory networks have been intensively studied over the last decade and many software tools are currently available. However, the impact of time point selection on network reconstruction is often underestimated. In this paper we apply the Dynamic Bayesian network (DBN) to construct the Arabidopsis gene regulatory networks by analyzing the time-series gene microarray data. In order to evaluate the impact of time point measurement on network reconstruction, we deleted time points one by one to yield 11 distinct groups of incomplete time series. Then the gene regulatory networks constructed based on complete and incomplete data series are compared in terms of statistics at different levels. Two time points are found to play a significant role in the Arabidopsis gene regulatory networks. Pathway analysis of significant nodes revealed three key regulatory genes. In addition, important regulations between genes, which were insensitive to the time point measurement, were also identified.
Keywords: dynamic Bayesian networks; time points; gene regulatory network; network statistics; network reconstruction dynamic Bayesian networks; time points; gene regulatory network; network statistics; network reconstruction
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This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Yan, W.; Zhu, H.; Yang, Y.; Chen, J.; Zhang, Y.; Shen, B. Effects of Time Point Measurement on the Reconstruction of Gene Regulatory Networks. Molecules 2010, 15, 5354-5368.

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