Package: mseapca 2.2.1

mseapca: Metabolite Set Enrichment Analysis for Loadings

Computing metabolite set enrichment analysis (MSEA) (Yamamoto, H. et al. (2014) <doi:10.1186/1471-2105-15-51>), single sample enrichment analysis (SSEA) (Yamamoto, H. (2023) <doi:10.51094/jxiv.484>) and over-representation analysis (ORA) that accounts for undetected metabolites (Yamamoto, H. (2024) <doi:10.51094/jxiv.954>).

Authors:Hiroyuki Yamamoto [aut, cre]

mseapca_2.2.1.tar.gz
mseapca_2.2.1.zip(r-4.7)mseapca_2.2.1.zip(r-4.6)mseapca_2.2.1.zip(r-4.5)
mseapca_2.2.1.tgz(r-4.6-any)mseapca_2.2.1.tgz(r-4.5-any)
mseapca_2.2.1.tar.gz(r-4.7-any)mseapca_2.2.1.tar.gz(r-4.6-any)
mseapca_2.2.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
mseapca/json (API)

# Install 'mseapca' in R:
install.packages('mseapca', repos = c('https://hiroyukiyamamoto.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/hiroyukiyamamoto/mseapca/issues

Datasets:
  • fasting_mseapca - Metabolome data from a fasting mouse study
  • pathway - Example of metabolite set list for fasting and covid19 datasets

On CRAN:

Conda:

4.61 score 5 stars 18 scripts 190 downloads 14 exports 2 dependencies

Last updated from:3df904753d. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK137
source / vignettesOK203
linux-release-x86_64OK138
macos-release-arm64OK88
macos-oldrel-arm64OK93
windows-develOK83
windows-releaseOK73
windows-oldrelOK62
wasm-releaseOK91

Exports:csv2listlist2xmlmsea_oramsea_ora_rangemsea_subora_allora_binoora_detora_estora_fullpathbank2listread_pathwaysetlabelssea_ora

Dependencies:loadingsXML