SGCP: A semi-supervised pipeline for gene clustering using self-training approach in gene co-expression networks

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Documentation for package ‘SGCP’ version 1.0.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

adjacencyMatrix	Performs Netwrok Construction step In SGCP Pipeline
cheng	Normalized gene expression Of ischemic cardiomyopathy (ICM) from a publication by Cheng et al.
clustering	Perform Network Clustering step In SGCP Pipeline
ezSGCP	Performs All SGCP pipeline In One Step
geneOntology	Performs Gene Ontology Enrichment step In SGCP Pipeline
resClus	An example of output of 'clustering' function in SGCP pipeline.
resFinalGO	An example of output of 'geneOntololgy' function in SGCP pipeline.
resInitialGO	An example of output of 'geneOntololgy' function in SGCP pipeline.
resSemiLabel	An example of output of 'semiLabeling' function in SGCP pipeline.
resSemiSupervised	An example of output of 'semiSupervised' function in SGCP pipeline.
semiLabeling	Performs Gene Semi-labeling step In SGCP Pipeline
semiSupervised	Performs Semi-supervised step In SGCP Pipeline
sgcp	An example of output of 'zSGCP' function in SGCP pipeline.
SGCP_ezPLOT	Performs All SGCP Plots In One Step
SGCP_plot_bar	Mean Over Gene Ontology Enrichment p-values In SGCP Pipeline
SGCP_plot_conductance	Plots Cluster Conductance Index In SGCP Pipeline
SGCP_plot_density	Density Plot Of Gene Ontology Enrichment p-values In SGCP Pipeline
SGCP_plot_heatMap	Plots Adjacency Matrix HeatMap In SGCP Pipeline
SGCP_plot_jitter	Jitter Plot Of Gene Ontology Enrichment p-values In SGCP Pipeline
SGCP_plot_pca	Plots PCA Of The Data In SGCP Pipeline
SGCP_plot_pie	Pie Chart of Gene Ontology Terms In SGCP Pipeline
SGCP_plot_silhouette	Plots Gene Silhouette Index In SGCP Pipeline