Package: CoFRA 0.1002
Rune Matthiesen
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:
CoFRA_0.1002.tar.gz
CoFRA_0.1002.zip(r-4.5)CoFRA_0.1002.zip(r-4.4)CoFRA_0.1002.zip(r-4.3)
CoFRA_0.1002.tgz(r-4.4-any)CoFRA_0.1002.tgz(r-4.3-any)
CoFRA_0.1002.tar.gz(r-4.5-noble)CoFRA_0.1002.tar.gz(r-4.4-noble)
CoFRA_0.1002.tgz(r-4.4-emscripten)CoFRA_0.1002.tgz(r-4.3-emscripten)
CoFRA.pdf |CoFRA.html✨
CoFRA/json (API)
| # Install 'CoFRA' in R: |
| install.packages('CoFRA', repos = c('https://cranhaven.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/cranhaven/cranhaven.r-universe.dev/issues
- iBAQ - Data frame containing iBAQ values
Last updated 11 days agofrom:6a328d69c0 (on package/CoFRA). Checks:7 OK. Indexed: no.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Jan 10 2025 |
| R-4.5-win | OK | Jan 10 2025 |
| R-4.5-linux | OK | Jan 10 2025 |
| R-4.4-win | OK | Jan 10 2025 |
| R-4.4-mac | OK | Jan 10 2025 |
| R-4.3-win | OK | Jan 10 2025 |
| R-4.3-mac | OK | Jan 10 2025 |
Exports:completeFunctionalRegulationAnalysisfilterDatagetFunctionalCategoriesHeatMapEnrichment
Dependencies:bitopscaToolscligluegplotsgtoolsKernSmoothlifecyclemagrittrrlangstringistringrvctrs
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| This function performs complete functional regulation analysis | completeFunctionalRegulationAnalysis |
| This function filter a data frame on column named "pro" | filterData |
| get named vector with functional categories | getFunctionalCategories |
| This function plot a heatmap to summarize the results from complete functional enrichment analysis | HeatMapEnrichment |
| data frame containing iBAQ values | iBAQ |
| This function plot a heatmap to summarize the results from complete functional enrichment analysis | plot.CompleteEnrichment |
| This function summarize and print the results from complete functional enrichment analysis | summary.CompleteEnrichment |
