Figure 2.

Recognition of the immune classes by the non-negative matrix factorization (NMF) algorithm

(A) Nine modules were generated from the NMF algorithm, and the module gathered patients with high immune enrichment score were recognized as the immune module. (B) Heatmap showing the top 150 exemplar genes expression among immune-enriched and non-immune-enriched clusters, divided by consensus clustering. (C) The multidimensional scaling random forest further modified the clusters to immune and non-immune classes. (D) The distributions of patients in different NMF modules, immune module weight, exemplar gene clustering, final immune classes, and immune enrichment score.