Package: SGCP
Type: Package
Title: SGCP: a spectral self-learning method for clustering genes in
        co-expression networks
Version: 1.4.4
Authors@R: c(person("Niloofar", "AghaieAbiane", email = "niloofar.abiane@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-1096-7592")),
			 person("Ioannis", "Koutis", email = "ikoutis@njit.edu", role = c("aut")))
Description: 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.
License: GPL-3
Encoding: UTF-8
Imports: ggplot2, expm, caret, plyr, dplyr, GO.db, annotate,
        SummarizedExperiment, genefilter, GOstats, RColorBrewer,
        xtable, Rgraphviz, reshape2, openxlsx, ggridges, DescTools,
        org.Hs.eg.db, methods, grDevices, stats, RSpectra, graph
Suggests: knitr, rmarkdown, BiocManager, devtools, BiocStyle
Depends: R (>= 4.2.0)
biocViews: GeneExpression, GeneSetEnrichment, NetworkEnrichment,
        SystemsBiology, Classification, Clustering, DimensionReduction,
        GraphAndNetwork, NeuralNetwork, Network, mRNAMicroarray,
        RNASeq, Visualization
VignetteBuilder: knitr
NeedsCompilation: no
URL: https://github.com/na396/SGCP
RoxygenNote: 7.2.1
LazyData: true
git_url: https://git.bioconductor.org/packages/SGCP
git_branch: RELEASE_3_19
git_last_commit: 01d2332
git_last_commit_date: 2024-08-19
Repository: Bioconductor 3.19
Date/Publication: 2024-08-21
Packaged: 2024-08-22 01:45:08 UTC; biocbuild
Author: Niloofar AghaieAbiane [aut, cre]
    (<https://orcid.org/0000-0003-1096-7592>),
  Ioannis Koutis [aut]
Maintainer: Niloofar AghaieAbiane <niloofar.abiane@gmail.com>
Built: R 4.4.1; ; 2024-08-22 13:00:45 UTC; windows
