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  • vipul
    Junior Member
    • Jun 2014
    • 3

    Microarray normalisation for in-house made platform

    Hello,

    I am trying to do a microarray analysis on a time-series (5 time points) gene expression (GE) data of 3000 genes. I want to calculate all Vs all (3000 Vs 3000 genes') Pearson correlation coefficient (PCC) values. I searched a lot in literature and found that studies use values that are 'Log (base 2) of the ratio of the median of test spot's intensity to median of control's intensity'.

    The intensity values are already normalised (background normalised). Whereas, some studies subtract the control GE intensity value of a gene from the test value. Please help me by explaining which of the above two kinds of values are appropriate for calculating pearson correlation coefficients of all Vs all genes.
  • mastal
    Senior Member
    • Mar 2009
    • 666

    #2
    See the limma package in Bioconductor.

    The Bioconductor project aims to develop and share open source software for precise and repeatable analysis of biological data. We foster an inclusive and collaborative community of developers and data scientists.

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