A method to construct gene regulatory networks to estimate and calculate time delays

Chai Suk Phin, Mohd Saberi Mohamad

Research output: Contribution to journalArticlepeer-review


In general, the motive of this research is to infer gene regulatory network in order to clarify the basis consequences of biological process at the molecular level. Time course gene expression profiling dataset has been widely used in basic biological research, especially in transcription regulation studies since the microarray dataset is a short time course gene expression dataset and have lots of errors, missing value, and noise. In this research, R library is implemented in this method to construct gene regulatory which aims to estimate and calculate the time delays between genes and transcription factor. Time delay is the parameters of the modeled time delay linear regression models and a time lag during gene expression change of the regulator genes toward target gene expression. The constructed gene regulatory network provided information of time delays between expression change in regulator genes and its target gene which can be applied to investigate important time-related biological process in cells. The result of time delays and regulation patterns in gene regulatory network may contribute into biological research such as cell development, cell cycle, and cell differentiation in any of living cells.

Original languageEnglish
Pages (from-to)25-31
Number of pages7
JournalJurnal Teknologi (Sciences and Engineering)
Issue number1
Publication statusPublished - May 2013
Externally publishedYes


  • Gene expression
  • Gene regulatory network
  • Saccharomyces cerevisiae
  • Time delay
  • Time delay linear regression model
  • Time-related biological processes

ASJC Scopus subject areas

  • General Engineering


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