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Reconstruct Hierarchical Clusters


Produce new hierarchical clusters from existing ones based on a new tree cutoff parameter.

This App produces new hierarchical clusters (also referred to as a dendrogram or cluster tree) from existing ones by applying a new cutoff value for cutting the branches and then reconstructing the set of clusters.

NOTE: This App expects a cluster set generated by the hierarchical clustering algorithm and will not run successfully on clusters generated by any other approach, such as K-means or WGCNA.

This method is based on the cutree method from the R stats package.

Team members who developed & deployed algorithm in KBase: Paramvir Dehal, Roman Sutormin, Michael Sneddon, Srividya Ramakrishnan, Pavel Novichkov, Keith Keller. For questions, please contact us.

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App Specification:

Module Commit: 6cdc50905a08883a53333c073abe1e1df7b3f97f