Spectral analysis of microarray gene expression time series data of Plasmodium falciparum

Liping Du, Shuanhu Wu, Alan Wee-Chung Liew, David K. Smith, Hong Yan

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

11 Citations (Scopus)

Abstract

We propose a new strategy to analyse the periodicity of gene expression profiles using Singular Spectrum Analysis (SSA) and Autoregressive (AR) model based spectral estimation. By combining the advantages of SSA and AR modelling, more periodic genes are extracted in the Plasmodium falciparum data set, compared with the classical Fourier analysis technique. We are able to identify more gene targets for new drug discovery, and by checking against the seven well-known malaria vaccine candidates, we have found five additional genes that warrant further biological verification. Copyright © 2008 Inderscience Enterprises Ltd.
Original languageEnglish
Pages (from-to)337-349
JournalInternational Journal of Bioinformatics Research and Applications
Volume4
Issue number3
DOIs
Publication statusPublished - Jul 2008

Research Keywords

  • AR
  • Autoregressive
  • Bioinformatics
  • Gene target
  • Microarray time series analysis
  • Model
  • Plasmodium falciparum
  • Singular spectrum analysis
  • SSA

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