This is the development version of PIUMA; for the stable release version, see PIUMA.
Phenotypes Identification Using Mapper from topological data AnalysisBioconductor version: Development (3.22)
The PIUMA package offers a tidy pipeline of Topological Data Analysis frameworks to identify and characterize communities in high and heterogeneous dimensional data.
Author: Mattia Chiesa [aut, cre] ORCID: 0000-0001-7427-9954 , Arianna Dagliati [aut] ORCID: 0000-0002-5041-0409 , Alessia Gerbasi [aut] ORCID: 0000-0003-4501-1777 , Giuseppe Albi [aut], Laura Ballarini [aut], Luca Piacentini [aut] ORCID: 0000-0003-1022-4481
Maintainer: Mattia Chiesa <mattia.chiesa at cardiologicomonzino.it>
Citation (from within R, entercitation("PIUMA")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("PIUMA")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("PIUMA")
Details biocViews Classification, Clustering, DimensionReduction, GraphAndNetwork, Network, Software Version 1.5.0 In Bioconductor since BioC 3.19 (R-4.4) (1 year) License GPL-3 + file LICENSE Depends R (>= 4.3), ggplot2 Imports cluster, umap, tsne, kernlab, vegan, dbscan, igraph, scales, Hmisc, patchwork, grDevices, stats, methods, SummarizedExperiment System Requirements URL https://github.com/BioinfoMonzino/PIUMA Bug Reports https://github.com/BioinfoMonzino/PIUMA/issues See More Package Archives
Follow Installation instructions to use this package in your R session.
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