bioconductor-sgcp
SGCP: A semi-supervised pipeline for gene clustering using self-training approach in gene co-expression networks
SGCP: A semi-supervised pipeline for gene clustering using self-training approach in gene co-expression networks
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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.
Summary
SGCP: A semi-supervised pipeline for gene clustering using self-training approach in gene co-expression networks
Last Updated
Jan 1, 2025 at 02:18
License
GPL-3
Total Downloads
3.0K
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