Transcriptional insights into pathogenesis of cutaneous systemic sclerosis using pathway driven meta-analysis assisted by machine learning methods
Fig 3
The determination of optimal number (K) of detailed SSC subsets.
(A) Heatmaps of consensus matrices for K (number of clusters) ranging from 2 to 9 showing clear-cut consensus clustering pattern at K = 8. (B) Silhouette plot showing average silhouette score peaking at K = 8 when considering more than 3 clusters. (C) Delta area plot showing relative change in the area under the CDF curve with dotted line as reference. It is evident that from K = 8 the change of AUC of CDF becomes very minimal.(D) Consensus cumulative distribution function plot showing at cluster K = 8, the area under CDF curve almost maximized with little improvement when K increased to 9 or 10.