Package: DiffCorr
Type: Package
Title: Analyzing and Visualizing Differential Correlation Networks in
        Biological Data
Version: 0.4.2
Date: 2022-04-29
Authors@R: c(person("Atsushi", "Fukushima", role = c("aut", "cre"),
                    email = "afukushima@gmail.com"),
              person("Kozo", "Nishida", role = "aut",
                    email = "kozo.nishida@gmail.com"))
Maintainer: Atsushi Fukushima <afukushima@gmail.com>
Depends: pcaMethods, igraph, fdrtool, multtest
Description: 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. 
License: GPL (> 3)
Packaged: 2022-04-30 01:29:34 UTC; hoge
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2022-05-01 15:20:13 UTC
RoxygenNote: 7.1.2
Author: Atsushi Fukushima [aut, cre],
  Kozo Nishida [aut]
Built: R 4.1.3; ; 2023-04-17 16:03:27 UTC; windows
