JasonPBennett/GECO: A metric to determine the biological quality of gene clusters
The GECO metric investigates co-expressed sets of genes and their distribution within clusters to determine the biological quality of clusters. Using our scoring methods, each gene is given a predictive value between 0.0 and 1.0. These scores are then used to generate ROC curves, and the resultant AUC values represent the quality of the clusters. This process is performed iteratively over a given range of k-means clusters and then produces a plot to help the user determine an optimal number of clusters to choose for their analysis based on the resultant quality of the clusters.
Getting started
Browse package contents
Package details |
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| Bioconductor views | Clustering DimensionReduction KEGG RNASeq |
| Maintainer | |
| License | GPL-3 |
| Version | 0.1.7 |
| URL | https://github.com/JasonPBennett/GECO |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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