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✨
card.svg |card.png
mseapca/json (API)
NEWS

# 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:

4.65 score 5 stars 18 scripts 143 downloads 14 exports 3 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64OK117
source / vignettesOK134
linux-release-x86_64OK146
macos-release-arm64OK147
macos-oldrel-arm64OK125
windows-develOK75
windows-releaseOK72
windows-oldrelOK73
wasm-releaseOK95

Exports:csv2listlist2xmlmsea_oramsea_ora_rangemsea_subora_allora_binoora_detora_estora_fullpathbank2listread_pathwaysetlabelssea_ora

Dependencies:geigenloadingsXML