Fig. 4: Regression analysis for transcriptomic signatures to predict clinical risk. | Nature Communications

Fig. 4: Regression analysis for transcriptomic signatures to predict clinical risk.

From: Transcriptomic profiling of human cardiac cells predicts protein kinase inhibitor-associated cardiotoxicity

Fig. 4

a Overview of processing and elastic net regression analysis of transcriptomic data in combination with FAERS-derived clinical risk scores. b Transcriptomic signature genes selected to predict cardiotoxicity risk score indicating their variable importance. c Observed and predicted risk scores from the elastic net cross- validation analysis (mean and standard deviation). d External validation of the signature for six kinase inhibitors: regorafenib (REG), sunitinib (SUN), ibrutinib (IBR), lenvatinib (LEN), nintendinib (NIN), and ceritinib (CER).

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