## rScudo: Signature-based Clustering for Diagnostic Purposes
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 sample is computed using a method similar to
GSEA. The graph of samples can the be used to perform community clustering or to
perform supervised classification of samples in a testing set.
To install this package, install the
This package requires R >= 3.6.
After installing the package, you can read the vignette for an overview of the
## Bug reports
Bugs should be reported at https://github.com/Matteo-Ciciani/rScudo/issues.