Fig. 2: Recapitulation of genetic DLBCL subtypes using 716 samples from 3 cohorts by clustering using Non-negative Matrix Factorization (NMF). | Nature Communications

Fig. 2: Recapitulation of genetic DLBCL subtypes using 716 samples from 3 cohorts by clustering using Non-negative Matrix Factorization (NMF).

From: Integrating genetic subtypes with PET scan monitoring to predict outcome in diffuse large B-cell lymphoma

Fig. 2

Coloured boxes in the heat map and “NMF cluster” bars in the header show the 5 clusters; C1, purple; C2, blue; C3, orange; C4, green; C5, red; and non-annotated samples C0, grey. The header furthermore shows the dendrogram; Top bar “Cohort” colour coded per sample; DFCI, dark red; HOVON-84, blue; PETAL, yellow; “COO” bar, cell-of-origin assignment with GCB, orange; non-GCB, green; unclassifiable, yellow; not assessed, white; “DFCI assignment” bar, DFCI samples with their originally published cluster assignment. “LymphGen” assignment bar, colour coded per sample with colour codes according to their DFCI counterparts18 with BN2, purple; A53, blue; EZB, orange; ST2, green; MCD, red; Other, grey; unclassified, white. “NMF cluster” bar colour coded accordingly. The right y-axis gives the genetic alterations that define the 5 clusters, per cluster ranked by significance, -log10q Fisher exact test values (Benjamini-Hochberg corrected p-values) grey horizontal bars. Type of genomic drivers are colour coded in the heat map: synonymous mutations, light green; non-synonymous mutations, dark green; copy number gains, red; copy number losses, blue; translocations, purple. Source data are provided in Supplementary Data 1 and 5.

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