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CoFRA
View on CRAN: Click
here
Download and install CoFRA package within the R console
Install from CRAN:
install.packages("CoFRA")
Install from Github:
library("remotes")
install_github("cran/CoFRA")
Install by package version:
library("remotes")
install_version("CoFRA", "0.1002")
Attach the package and use:
library("CoFRA")
Maintained by
Rune Matthiesen
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-12-26
Latest Update: 2017-04-06
Description:
Calculates complete functional regulation analysis and visualize
the results in a single heatmap. The provided example data is for biological
data but the methodology can be used for large data sets to compare quantitative
entities that can be grouped. For example, a store might divide entities into
cloth, food, car products etc and want to see how sales changes in the groups
after some event. The theoretical background for the calculations are provided
in New insights into functional regulation in MS-based drug profiling, Ana Sofia
Carvalho, Henrik Molina & Rune Matthiesen, Scientific Reports .
How to cite:
Rune Matthiesen (2016). CoFRA: Complete Functional Regulation Analysis. R package version 0.1002, https://cran.r-project.org/web/packages/CoFRA
Previous versions and publish date:
0.1001 (2016-12-26 00:31)
Other packages that cited CoFRA R package
View CoFRA citation profile
Other R packages that CoFRA depends,
imports, suggests or enhances
Functions, R codes and Examples using
the CoFRA R package
Some associated functions: HeatMapEnrichment . completeFunctionalRegulationAnalysis . filterData . getFunctionalCategories . iBAQ . plot.CompleteEnrichment . summary.CompleteEnrichment .
Some associated R codes: CoFRA.R . Rcpp.R . data.R . Full CoFRA package functions and examples
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