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phoenics: Pathways Longitudinal and Differential Analysis in Metabolomics

Perform a differential analysis at pathway level based on metabolite quantifications and information on pathway metabolite composition. The method, described in Guilmineau et al (2025) <doi:10.1186/s12859-025-06118-z> is based on a Principal Component Analysis step and on a linear mixed model. Automatic query of metabolic pathways is also implemented.

Version:0.6
Depends:R (≥ 4.0.0)
Imports:lme4,blme,tibble,FactoMineR,factoextra,tidyr, stats
Suggests:knitr,KEGGREST
Published:2025-08-19
DOI:10.32614/CRAN.package.phoenics
Author:Camille Guilmineau [aut], Remi ServienORCID iD [aut, cre], Nathalie VialaneixORCID iD [aut]
Maintainer:Remi Servien <remi.servien at inrae.fr>
BugReports:https://forge.inrae.fr/panoramics/phoenics/-/issues
License:GPL-3
URL:https://forge.inrae.fr/panoramics/phoenics
NeedsCompilation:no
Language:en-US
Citation:phoenics citation info
Materials:NEWS
CRAN checks:phoenics results

Documentation:

Reference manual:phoenics.html ,phoenics.pdf
Vignettes:Introduction to phoenics (source,R code)

Downloads:

Package source: phoenics_0.6.tar.gz
Windows binaries: r-devel:phoenics_0.6.zip, r-release:phoenics_0.6.zip, r-oldrel:phoenics_0.6.zip
macOS binaries: r-release (arm64):phoenics_0.6.tgz, r-oldrel (arm64):phoenics_0.6.tgz, r-release (x86_64):phoenics_0.6.tgz, r-oldrel (x86_64):phoenics_0.6.tgz
Old sources: phoenics archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=phoenicsto link to this page.


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