Fig. 1 | Scientific Reports

Fig. 1

From: Advancing leprosy risk prediction through identification of a whole blood host transcriptomic biomarker signature including non-coding genes

Fig. 1

Schematic overview of analyses used to discover host transcriptomic biomarkers predicting the risk for leprosy. Including both coding and non-coding genes from the RNA-Seq data, a funnel approach of statistical analysis identified 19 candidate biomarkers, of which 14 were testable in RT-qPCR and 12 validated as host transcriptomic biomarkers associated with risk of leprosy. FC: Fold Change; RFE: Recursive feature Elimination; RF: Random Forest; SVM: Support Vector Machine. * Three of the 4 genes in the RISK4LEP gene signature were added for comparative purposes; one of the genes (TPGS1) was among 37 genes identified by the current analysis.

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