DiffCorr (Q109920)

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Analyzing and Visualizing Differential Correlation Networks in Biological Data
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DiffCorr
Analyzing and Visualizing Differential Correlation Networks in Biological Data

    Statements

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    0.4.2
    1 May 2022
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    0.4.1
    2 April 2015
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    0.4.3
    25 August 2023
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    25 August 2023
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    A method for identifying pattern changes between 2 experimental conditions in correlation networks (e.g., gene co-expression networks), which builds on a commonly used association measure, such as Pearson's correlation coefficient. This package includes functions to calculate correlation matrices for high-dimensional dataset and to test differential correlation, which means the changes in the correlation relationship among variables (e.g., genes and metabolites) between 2 experimental conditions.
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