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Description

Metabolite Set Enrichment Analysis for Loadings.

Computing metabolite set enrichment analysis (MSEA) (Yamamoto, H. et al. (2014) <doi:10.1186/1471-2105-15-51>) and single sample enrichment analysis (SSEA) (Yamamoto, H. (2023) <doi:10.51094/jxiv.262>).

mseapca

Metabolite set enrichment analysis for loadings

mseapca provides functions for metabolite set enrichment analysis with loading in principal component anaysis and partial least squares, and single sample enrichment analysis.

  • Metabolite set enrichment analysis [1] can be performed using the "msea_ora" or "msea_sub" functions.

  • Our mseapca package utilizes the loadings package ( https://cran.r-project.org/web/packages/loadings ) to conduct multivariate analyses like PCA and PLS, along with their respective loadings.

  • The "ssea_ora" function can be used to compute single sample enrichment analysis based on over-representation analysis [2].

  • Our mseapca package can incorporate a metabolite set list from the PathBank database by referencing the AHPathbankDbs Bioconductor package or through user-generated lists.

References
[1] Yamamoto H. et al., BMC Bioinformatics, (2014) 15(1):51. doi: https://doi.org/10.1186/1471-2105-15-51
[2] Yamamoto H. , Jxiv, (2023). doi: https://doi.org/10.51094/jxiv.484

Installation (in preparation)

The latest stable version can be installed from CRAN:

install.packages("mseapca")

The latest development version can be installed from GitHub:

# install.packages("devtools")
devtools::install_github("hiroyukiyamamoto/mseapca")
Metadata

Version

2.0.3

License

Unknown

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