Package: cycle 1.67.0

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:Matthias Futschik <[email protected]>

cycle_1.67.0.tar.gz
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cycle_1.67.0.tgz(r-4.6-any)cycle_1.67.0.tgz(r-4.5-any)
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cycle_1.67.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
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-1.67.0(bioc 3.24)cycle-1.66.0(bioc 3.23)

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

microarray timecourse

3.81 score 16 scripts 490 downloads 2 mentions 4 exports 11 dependencies

Last updated from:918dde818d. Checks:1 ERROR, 7 NOTE, 2 OK. Indexed: yes.

Target	Result	Time
bioc-checks	ERROR	140
linux-devel-x86_64	NOTE	136
source / vignettes	OK	182
linux-release-x86_64	NOTE	178
macos-release-arm64	NOTE	86
macos-oldrel-arm64	NOTE	76
windows-devel	NOTE	76
windows-release	NOTE	70
windows-oldrel	NOTE	69
wasm-release	OK	93

Exports:ar1analysis backgroundData fdrfourier fourierscore

Dependencies:Biobase BiocGenerics class DynDoc e1071 generics MASS Mfuzz proxy tkWidgets widgetTools

Introduction to cycle

Rendered fromcycle.Rnwusingutils::Sweave

Last update: 2016-02-19
Started: 2013-11-01

Citation

Development and contributors

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