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Bioconductor - MOSClip

MOSClip

This is the released version of MOSClip; for the devel version, see MOSClip.

Multi Omics Survival Clip

Bioconductor version: Release (3.21)

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] ORCID: 0000-0002-0146-1031 , Anna Bortolato [aut] ORCID: 0009-0009-9327-6084 , Anna Tanada [aut] ORCID: 0000-0003-3224-0538 , Enrica Calura [aut] ORCID: 0000-0001-8463-2432 , Stefania Pirrotta [aut] ORCID: 0009-0004-0030-217X , Federico Agostinis [aut]

Maintainer: Paolo Martini <paolo.martini at unibs.it>

Citation (from within R, enter citation("MOSClip")): Installation

To install this package, start R (version "4.5") 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")
Details biocViews DimensionReduction, GraphAndNetwork, Pathways, Reactome, Regression, Software, StatisticalMethod, Survival Version 1.2.2 In Bioconductor since BioC 3.20 (R-4.4) (0.5 years) 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 Package Archives

Follow Installation instructions to use this package in your R session.


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