Short time-series microarray analysis: Methods and challenges

Xuewei Wang, Ming Wu, Zheng Li, Christina Chan

    Research output: Contribution to journalArticle

    • 26 Citations

    Abstract

    The detection and analysis of steady-state gene expression has become routine. Time-series microarrays are of growing interest to systems biologists for deciphering the dynamic nature and complex regulation of biosystems. Most temporal microarray data only contain a limited number of time points, giving rise to short-time-series data, which imposes challenges for traditional methods of extracting meaningful information. To obtain useful information from the wealth of short-time series data requires addressing the problems that arise due to limited sampling. Current efforts have shown promise in improving the analysis of short time-series microarray data, although challenges remain. This commentary addresses recent advances in methods for short-time series analysis including simplification-based approaches and the integration of multi-source information. Nevertheless, further studies and development of computational methods are needed to provide practical solutions to fully exploit the potential of this data.

    Original languageEnglish (US)
    Article number58
    JournalBMC Systems Biology
    Volume2
    DOIs
    StatePublished - Jul 7 2008

    Profile

    Time series data
    Time series
    Microarray Analysis
    Microarrays
    Time series analysis
    Microarray data
    Microarray analysis
    Microarray
    Computational methods
    Simplification
    Gene expression
    Sampling
    Gene Expression

    ASJC Scopus subject areas

    • Molecular Biology
    • Structural Biology
    • Applied Mathematics
    • Modeling and Simulation
    • Computer Science Applications

    Cite this

    Short time-series microarray analysis : Methods and challenges. / Wang, Xuewei; Wu, Ming; Li, Zheng; Chan, Christina.

    In: BMC Systems Biology, Vol. 2, 58, 07.07.2008.

    Research output: Contribution to journalArticle

    Wang, Xuewei; Wu, Ming; Li, Zheng; Chan, Christina / Short time-series microarray analysis : Methods and challenges.

    In: BMC Systems Biology, Vol. 2, 58, 07.07.2008.

    Research output: Contribution to journalArticle

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