MLP
This package is for version 3.19 of Bioconductor; for the stable, up-to-date release version, see MLP.
Mean Log P Analysis
Bioconductor version: 3.19
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], Katarzyna Gorczak [ctb]
Maintainer: Tobias Verbeke <tobias.verbeke at openanalytics.eu>
citation("MLP")
):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("MLP")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("MLP")
UsingMLP | R Script | |
Reference Manual | ||
NEWS | Text |
Details
biocViews | GO, GeneExpression, Genetics, KEGG, Pathways, Reactome, Software |
Version | 1.52.0 |
In Bioconductor since | BioC 2.8 (R-2.13) (13.5 years) |
License | GPL-3 |
Depends | |
Imports | AnnotationDbi, gplots, graphics, stats, utils |
System Requirements | |
URL |
See More
Suggests | GO.db, org.Hs.eg.db, org.Mm.eg.db, org.Rn.eg.db, org.Cf.eg.db, org.Mmu.eg.db, KEGGREST, annotate, Rgraphviz, GOstats, graph, limma, mouse4302.db, reactome.db |
Linking To | |
Enhances | |
Depends On Me | |
Imports Me | esetVis |
Suggests Me | a4 |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | MLP_1.52.0.tar.gz |
Windows Binary (x86_64) | MLP_1.52.0.zip |
macOS Binary (x86_64) | MLP_1.52.0.tgz |
macOS Binary (arm64) | |
Source Repository | git clone https://git.bioconductor.org/packages/MLP |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/MLP |
Bioc Package Browser | https://code.bioconductor.org/browse/MLP/ |
Package Short Url | https://bioconductor.org/packages/MLP/ |
Package Downloads Report | Download Stats |