Fig 2.

High accuracy and confidence of SPOP mutant (SPOPmut) subclass prediction on Weill Cornell Medicine (WCM) and Gene Expression Omnibus (GEO) data set by the SCaPT (SubClass Predictor Based on Transcriptional Data) model. (A) SCaPT model example and its SPOPmut prediction on WCM prostate cancer RNA sequencing (RNA-seq) data. Different colors represent molecular subclasses from genomic and transcriptomic annotations. (B) The SPOPmut prediction of the SCaPT model on three independent exon array data downloaded from the GEO database. Data from Taylor et al,¹ Erho et al,²⁴ and Kelin et al.²² wt, wild type.