CoINcIDE: A framework for discovery of patient subtypes across multiple datasets.

We recommend an averaged nearest neighbor fraction of 0.7 and a P value threshold of 0.01 (applied to both P values from the cluster-cluster pair) to produce highly significant clusters with strongly homogenous patient make-up.

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