Fig. 2: Classification results in the 450K, EPIC/EPICv2, nanopore, targeted methyl-seq and WGBS validation cohorts. | Nature Cancer

Fig. 2: Classification results in the 450K, EPIC/EPICv2, nanopore, targeted methyl-seq and WGBS validation cohorts.

From: crossNN is an explainable framework for cross-platform DNA methylation-based classification of tumors

Fig. 2

a,d,g,j,m,p,s, Predictions for 2,090 samples are shown (450K n = 610 (a), EPICv1 n = 554 (d), EPICv2 n = 133 (g), nanopore R9 n = 415 (j), nanopore R10 n = 129 (m), targeted sequencing n = 124 (p), WGBS n = 125 (s)). The distribution of the number of CpG features used as input to the crossNN model is shown. b,e,h,k,n,q,t, Waterfall plots of cohorts with samples ranked according to the confidence score. The dashed lines indicate platform-specific cutoff values chosen based on fivefold CV. c,f,i,l,o,r,u, Receiver operator characteristics of confidence scores regarding the correct classification on MC versus MCF level.

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