Extracting novel information from gene expression data

Zheng Li, Christina Chan

    Research output: Research - peer-reviewArticle

    • 7 Citations

    Abstract

    Data from high throughput technologies, such as DNA microarrays, necessitated the development of new computational methodologies for analyzing the high dimensional information contained within the gene expression data. Liao's group suggested the use of network component analysis to predict transcription factor activities by integrating gene expression data from Escherichia coli with known connectivity information between their genes and transcription factors. This introduces an approach for obtaining novel information from gene expression data.

    LanguageEnglish (US)
    Pages381-383
    Number of pages3
    JournalTrends in Biotechnology
    Volume22
    Issue number8
    DOIs
    StatePublished - Aug 1 2004

    Profile

    Gene expression
    Gene Expression
    Transcription Factors
    Transcription factors
    Network components
    Microarrays
    Escherichia coli
    Genes
    Throughput
    DNA
    Oligonucleotide Array Sequence Analysis
    Technology

    ASJC Scopus subject areas

    • Bioengineering

    Cite this

    Extracting novel information from gene expression data. / Li, Zheng; Chan, Christina.

    In: Trends in Biotechnology, Vol. 22, No. 8, 01.08.2004, p. 381-383.

    Research output: Research - peer-reviewArticle

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