This is the development version of SGCP; for the stable release version, see SGCP.
SGCP: A semi-supervised pipeline for gene clustering using self-training approach in gene co-expression networksBioconductor version: Development (3.22)
SGC is a semi-supervised pipeline for gene clustering in gene co-expression networks. SGC consists of multiple novel steps that enable the computation of highly enriched modules in an unsupervised manner. But unlike all existing frameworks, it further incorporates a novel step that leverages Gene Ontology information in a semi-supervised clustering method that further improves the quality of the computed modules.
Author: Niloofar AghaieAbiane [aut, cre] ORCID: 0000-0003-1096-7592 , Ioannis Koutis [aut]
Maintainer: Niloofar AghaieAbiane <niloofar.abiane at gmail.com>
Citation (from within R, entercitation("SGCP")): 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("SGCP")
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("SGCP")Follow Installation instructions to use this package in your R session.
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