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rScudo

Signature-based Clustering for Diagnostic Purposes

Bioconductor version: 3.23 · Package version: 1.28.0

SCUDO (Signature-based Clustering for Diagnostic Purposes) is a rank-based method for the analysis of gene expression profiles for diagnostic and classification purposes. It is based on the identification of sample-specific gene signatures composed of the most up- and down-regulated genes for that sample. Starting from gene expression data, functions in this package identify sample-specific gene signatures and use them to build a graph of samples. In this graph samples are joined by edges if they have a similar expression profile, according to a pre-computed similarity matrix. The similarity between the expression profiles of two samples is computed using a method similar to GSEA. The graph of samples can then be used to perform community clustering or to perform supervised classification of samples in a testing set.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("rScudo")

Details

MaintainerMatteo Ciciani <matteo.ciciani@gmail.com>
AuthorMatteo Ciciani [aut, cre], Thomas Cantore [aut], Enrica Colasurdo [ctb], Mario Lauria [ctb]
LicenseGPL-3
URLhttps://github.com/Matteo-Ciciani/scudo
Bug Reportshttps://github.com/Matteo-Ciciani/scudo/issues
Downloads rank308
Source branchRELEASE_3_23
biocViewsBiomedicalInformatics, Classification, Clustering, DifferentialExpression, FeatureExtraction, GeneExpression, GraphAndNetwork, Network, Proteomics, Software, SystemsBiology, Transcriptomics

Documentation

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Dependencies

Depends: R (>= 3.6)

Imports: methods, stats, igraph, stringr, grDevices, Biobase, S4Vectors, SummarizedExperiment, BiocGenerics

Suggests: testthat, BiocStyle, knitr, rmarkdown, ALL, RCy3, caret, e1071, parallel, doParallel