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Perform a differential analysis at pathway level based on metabolite quantifications and information on pathway metabolite composition. The method is based on a Principal Component Analysis step and on a linear mixed model. Automatic query of metabolic pathways is also implemented.
Version: | 0.3 |
Depends: | R (≥ 4.0.0) |
Imports: | lme4, blme, tibble, FactoMineR, factoextra, tidyr, stats |
Suggests: | KEGGREST |
Published: | 2024-07-22 |
DOI: | 10.32614/CRAN.package.phoenics |
Author: | Camille Guilmineau [aut, cre], Remi Servien [aut], Nathalie Vialaneix [aut] |
Maintainer: | Camille Guilmineau <camille.guilmineau at inrae.fr> |
BugReports: | https://forgemia.inra.fr/panoramics/phoenics/-/issues |
License: | GPL-3 |
URL: | https://forgemia.inra.fr/panoramics/phoenics |
NeedsCompilation: | no |
Citation: | phoenics citation info |
Materials: | NEWS |
CRAN checks: | phoenics results |
Reference manual: | phoenics.pdf |
Package source: | phoenics_0.3.tar.gz |
Windows binaries: | r-devel: phoenics_0.3.zip, r-release: phoenics_0.3.zip, r-oldrel: phoenics_0.3.zip |
macOS binaries: | r-release (arm64): phoenics_0.3.tgz, r-oldrel (arm64): phoenics_0.3.tgz, r-release (x86_64): phoenics_0.3.tgz, r-oldrel (x86_64): phoenics_0.3.tgz |
Old sources: | phoenics archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.