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
| Maintainer | Matteo Ciciani <matteo.ciciani@gmail.com> |
| Author | Matteo Ciciani [aut, cre], Thomas Cantore [aut], Enrica Colasurdo [ctb], Mario Lauria [ctb] |
| License | GPL-3 |
| URL | https://github.com/Matteo-Ciciani/scudo |
| Bug Reports | https://github.com/Matteo-Ciciani/scudo/issues |
| Downloads rank | 308 |
| Source branch | RELEASE_3_23 |
| biocViews | BiomedicalInformatics, 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