MOSClip
Multi Omics Survival Clip
Bioconductor version: Release (3.20)
Topological pathway analysis tool able to integrate multi-omics data. It finds survival-associated modules or significant modules for two-class analysis. This tool have two main methods: pathway tests and module tests. The latter method allows the user to dig inside the pathways itself.
Author: Paolo Martini [aut, cre] , Anna Bortolato [aut] , Anna Tanada [aut] , Enrica Calura [aut] , Stefania Pirrotta [aut] , Federico Agostinis [aut]
Maintainer: Paolo Martini <paolo.martini at unibs.it>
citation("MOSClip")
):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("MOSClip")
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("MOSClip")
MOSClip | HTML | R Script |
Reference Manual | ||
NEWS | Text |
Details
biocViews | DimensionReduction, GraphAndNetwork, Pathways, Reactome, Regression, Software, StatisticalMethod, Survival |
Version | 1.0.0 |
In Bioconductor since | BioC 3.20 (R-4.4) (< 6 months) |
License | AGPL-3 |
Depends | R (>= 4.4.0) |
Imports | MultiAssayExperiment, methods, survminer, graph, graphite, AnnotationDbi, checkmate, ggplot2, gridExtra, igraph, pheatmap, survival, RColorBrewer, SuperExactTest, reshape, NbClust, S4Vectors, grDevices, graphics, stats, utils, ComplexHeatmap, FactoMineR, circlize, corpcor, coxrobust, elasticnet, gRbase, ggplotify, qpgraph, org.Hs.eg.db, Matrix |
System Requirements | |
URL | https://github.com/CaluraLab/MOSClip/ |
Bug Reports | https://github.com/CaluraLab/MOSClip/issues |
See More
Suggests | RUnit, BiocGenerics, MASS, BiocStyle, knitr, EDASeq, rmarkdown, kableExtra, testthat (>= 3.0.0) |
Linking To | |
Enhances | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | MOSClip_1.0.0.tar.gz |
Windows Binary (x86_64) | MOSClip_1.0.0.zip |
macOS Binary (x86_64) | MOSClip_1.0.0.tgz |
macOS Binary (arm64) | MOSClip_1.0.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/MOSClip |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/MOSClip |
Bioc Package Browser | https://code.bioconductor.org/browse/MOSClip/ |
Package Short Url | https://bioconductor.org/packages/MOSClip/ |
Package Downloads Report | Download Stats |