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.
Package details |
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Author | Matteo Ciciani [aut, cre], Thomas Cantore [aut], Enrica Colasurdo [ctb], Mario Lauria [ctb] |
Bioconductor views | BiomedicalInformatics Classification Clustering DifferentialExpression FeatureExtraction GeneExpression GraphAndNetwork Network Proteomics SystemsBiology Transcriptomics |
Maintainer | Matteo Ciciani <matteo.ciciani@gmail.com> |
License | GPL-3 |
Version | 1.6.0 |
URL | https://github.com/Matteo-Ciciani/scudo |
Package repository | View on Bioconductor |
Installation |
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