Package: cycle 1.61.0
Matthias Futschik
cycle: Significance of periodic expression pattern in time-series data
Package for assessing the statistical significance of periodic expression based on Fourier analysis and comparison with data generated by different background models
Authors:
cycle_1.61.0.tar.gz
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cycle_1.61.0.tgz(r-4.4-any)cycle_1.61.0.tgz(r-4.3-any)
cycle_1.61.0.tar.gz(r-4.5-noble)cycle_1.61.0.tar.gz(r-4.4-noble)
cycle_1.61.0.tgz(r-4.4-emscripten)cycle_1.61.0.tgz(r-4.3-emscripten)
cycle.pdf |cycle.html✨
cycle/json (API)
# Install 'cycle' in R: |
install.packages('cycle', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
On BioConductor:cycle-1.61.0(bioc 3.21)cycle-1.60.0(bioc 3.20)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 months agofrom:40c4cd14e8. Checks:OK: 1 NOTE: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 19 2024 |
R-4.5-win | NOTE | Dec 19 2024 |
R-4.5-linux | NOTE | Dec 19 2024 |
R-4.4-win | NOTE | Dec 19 2024 |
R-4.4-mac | NOTE | Dec 19 2024 |
R-4.3-win | NOTE | Dec 19 2024 |
R-4.3-mac | NOTE | Dec 19 2024 |
Exports:ar1analysisbackgroundDatafdrfourierfourierscore
Dependencies:BiobaseBiocGenericsclassDynDoce1071genericsMASSMfuzzproxytkWidgetswidgetTools
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Performs AR1 fitting | ar1analysis |
Generation of background expression set | backgroundData |
Calculation of the false discovery rates (FDR) for periodic expression | fdrfourier |
Calculation of the Fourier score | fourierscore |