Description Usage Format Source References
Results of pathways enrichment analysis on the list of genes and metabolites, using KEGG pathways. Pathways enrichment analysis is performed using MPINet for metabolites and gprofiler2 for genes.
1 | data("listk")
|
A list of 4 items.
Pathway enrichment analysis results for metabolites. A data frame with 7 rows and 2 variables.
Name of pathways resulting in metabolites pathway enrichment analysis.
Identifiers of pathways resulting in metabolites pathway enrichment analysis.
Pathway enrichment analysis results for genes. A data frame with 11 rows and 2 variables.
Name of pathways resulting in genes pathway enrichment analysis.
Identifiers of pathways resulting in genes pathway enrichment analysis.
Vector containing user's genes (ACAA1, SLC6A12)
Vector containing user's metabolites (C00002, C00719)
path_enrich
function.
Yanjun Xu, Chunquan Li and Xia Li (2013). MPINet: The package can implement the network-based metabolite pathway identification of pathways.. R package version 1.0. https://CRAN.R-project.org/package=MPINet
Liis Kolberg and Uku Raudvere (2020). gprofiler2: Interface to the 'g:Profiler' Toolset. R package version 0.2.0. https://CRAN.R-project.org/package=gprofiler2
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