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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.

Type Size Name Uploaded Downloads Labels
conda 258.7 kB | noarch/r-diffcorr-0.4.4-r44h3342da4_1.tar.bz2  2 months and 13 days ago 143 main
conda 257.3 kB | noarch/r-diffcorr-0.4.4-r43h3342da4_0.tar.bz2  5 months and 4 days ago 198 main

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