Bioconductor version: Release (3.13)
Pathway analysis based on p-values associated to genes from a genes expression analysis of interest. Utility functions enable to extract pathways from the Gene Ontology Biological Process (GOBP), Molecular Function (GOMF) and Cellular Component (GOCC), Kyoto Encyclopedia of Genes of Genomes (KEGG) and Reactome databases. Methodology, and helper functions to display the results as a table, barplot of pathway significance, Gene Ontology graph and pathway significance are available.
Author: Nandini Raghavan [aut], Tobias Verbeke [aut], An De Bondt [aut], Javier Cabrera [ctb], Dhammika Amaratunga [ctb], Tine Casneuf [ctb], Willem Ligtenberg [ctb], Laure Cougnaud [cre]
Maintainer: Tobias Verbeke <tobias.verbeke at openanalytics.eu>
Citation (from within R,
enter citation("MLP")
):
To install this package, start R (version "4.1") and enter:
if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("MLP")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("MLP")
R Script | UsingMLP | |
Reference Manual | ||
Text | NEWS |
biocViews | GO, GeneExpression, Genetics, KEGG, Pathways, Reactome, Software |
Version | 1.40.0 |
In Bioconductor since | BioC 2.8 (R-2.13) (10.5 years) |
License | GPL-3 |
Depends | |
Imports | AnnotationDbi, gplots, graphics, stats, utils |
LinkingTo | |
Suggests | GO.db, org.Hs.eg.db, org.Mm.eg.db, org.Rn.eg.db, org.Cf.eg.db, KEGGREST, annotate, Rgraphviz, GOstats, graph, limma, mouse4302.db, reactome.db |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | esetVis |
Suggests Me | a4 |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | MLP_1.40.0.tar.gz |
Windows Binary | MLP_1.40.0.zip |
macOS 10.13 (High Sierra) | MLP_1.40.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/MLP |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/MLP |
Package Short Url | https://bioconductor.org/packages/MLP/ |
Package Downloads Report | Download Stats |
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