Reconstruct gene regulatory network using slice pattern model

Yadong Wang, Guohua Wang, Bo Yang, Haijun Tao, Jack Y. Yang, Youping Deng, Yunlong Liu

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

Background: Gene expression time series array data has become a useful resource for investigating gene functions and the interactions between genes. However, the gene expression arrays are always mixed with noise, and many nonlinear regulatory relationships have been omitted in many linear models. Because of those practical limitations, inference of gene regulatory model from expression data is still far from satisfactory. Results: In this study, we present a model-based computational approach, Slice Pattern Model (SPM), to identify gene regulatory network from time series gene expression array data. In order to estimate performances of stability and reliability of our model, an artificial gene network is tested by the traditional linear model and SPM. SPM can handle the multiple transcriptional time lags and more accurately reconstruct the gene network. Using SPM, a 17 time-series gene expression data in yeast cell cycle is retrieved to reconstruct the regulatory network. Under the reliability threshold, θ = 55%, 18 relationships between genes are identified and transcriptional regulatory network is reconstructed. Results from previous studies demonstrate that most of gene relationships identified by SPM are correct. Conclusion: With the help of pattern recognition and similarity analysis, the effect of noise has been limited in SPM method. At the same time, genetic algorithm is introduced to optimize parameters of gene network model, which is performed based on a statistic method in our experiments. The results of experiments demonstrate that the gene regulatory model reconstructed using SPM is more stable and reliable than those models coming from traditional linear model.

Original languageEnglish
Article numberS2
JournalBMC Genomics
Volume10
Issue numberSUPPL. 1
DOIs
StatePublished - Jul 7 2009

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Gene Regulatory Networks
Gene Expression
Linear Models
Regulator Genes
Genes
Noise
Synthetic Genes
Cell Cycle
Yeasts

ASJC Scopus subject areas

  • Biotechnology
  • Genetics

Cite this

Wang, Y., Wang, G., Yang, B., Tao, H., Yang, J. Y., Deng, Y., & Liu, Y. (2009). Reconstruct gene regulatory network using slice pattern model. BMC Genomics, 10(SUPPL. 1), [S2]. https://doi.org/10.1186/1471-2164-10-S1-S2

Reconstruct gene regulatory network using slice pattern model. / Wang, Yadong; Wang, Guohua; Yang, Bo; Tao, Haijun; Yang, Jack Y.; Deng, Youping; Liu, Yunlong.

In: BMC Genomics, Vol. 10, No. SUPPL. 1, S2, 07.07.2009.

Research output: Contribution to journalArticle

Wang, Y, Wang, G, Yang, B, Tao, H, Yang, JY, Deng, Y & Liu, Y 2009, 'Reconstruct gene regulatory network using slice pattern model', BMC Genomics, vol. 10, no. SUPPL. 1, S2. https://doi.org/10.1186/1471-2164-10-S1-S2
Wang Y, Wang G, Yang B, Tao H, Yang JY, Deng Y et al. Reconstruct gene regulatory network using slice pattern model. BMC Genomics. 2009 Jul 7;10(SUPPL. 1). S2. https://doi.org/10.1186/1471-2164-10-S1-S2
Wang, Yadong ; Wang, Guohua ; Yang, Bo ; Tao, Haijun ; Yang, Jack Y. ; Deng, Youping ; Liu, Yunlong. / Reconstruct gene regulatory network using slice pattern model. In: BMC Genomics. 2009 ; Vol. 10, No. SUPPL. 1.
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