Package: CoFRA 0.1002

CoFRA: Complete Functional Regulation Analysis

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 <doi:10.1038/srep18826>.

Authors:Rune Matthiesen [aut, cre]

CoFRA_0.1002.tar.gz
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CoFRA.pdf |CoFRA.html
CoFRA/json (API)

# Install 'CoFRA' in R:
install.packages('CoFRA', repos = c('https://ruma1974.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • iBAQ - Data frame containing iBAQ values

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

4 exports 0.36 score 13 dependencies 1 mentions 15 scripts 816 downloads

Last updated 7 years agofrom:cecfe12b1e. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 10 2024
R-4.5-winOKSep 10 2024
R-4.5-linuxOKSep 10 2024
R-4.4-winOKSep 10 2024
R-4.4-macOKSep 10 2024
R-4.3-winOKSep 10 2024
R-4.3-macOKSep 10 2024

Exports:completeFunctionalRegulationAnalysisfilterDatagetFunctionalCategoriesHeatMapEnrichment

Dependencies:bitopscaToolscligluegplotsgtoolsKernSmoothlifecyclemagrittrrlangstringistringrvctrs

CoFRA for complete functional regulation analysis

Rendered fromCoFRA.Rmdusingknitr::rmarkdownon Sep 10 2024.

Last update: 2017-04-06
Started: 2016-12-25