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colorpatch is an R-package for optimized rendering of fold changes and confidence values primarily designed for visualising gene expression profiles.

  • bivariate color maps (HSV color space),
  • a patch grid approach combined with a psychophysically optimized color scale.
Functionality for optimizing two-sided color scales is included.

The most recent version of the package and its documentation is available from colorpatch's CRAN page.


Documentation is included in the R package. You can get help for a command by typing ?<command> (e.g. ?PlotUniformity) inside R when the package is loaded.

The vignette shows an example of this package. Call

vignette("introduction", package = "colorpatch")

within R after installing the package.


In an R console, type install.packages("colorpatch"). The package is now installed and can be loaded via library(colorpatch).

Latest News

Our paper "Big Data and Precision Medicine - Challenges and Strategies with Health Care Data" has been published in Journal of Data Science and Analytics.

Our paper "Stability of Signaling Pathways during Aging - A Boolean Network Approach" has been published in MDPI Biology.