Easiest way to find number of cluster in gene expression data
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Gene clustering is a common method to find the groups of the gene with similar expression patterns. However, it is not always easy to decide the number of clusters in the whole datasets. The following R script uses the most popular methods for determining the optimal clusters. This R script uses "TF_average.csv" as input and saves the result as "optial_cluster.png".
How to perform Non-metric multidimensional scaling (NMDS) analysis script HERE
Prerequisite
We need the following R libraries to run the script- factoextra
- NbClust
optimal_cluster_finder.R
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