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Fig. 4 | BMC Systems Biology

Fig. 4

From: Identification of Hürthle cell cancers: solving a clinical challenge with genomic sequencing and a trio of machine learning algorithms

Fig. 4

Hürthle Classifier Cross Validation Performance. a Samples used in the Classifier development. Hürthle and Neoplasm labels are defined by cytopathology. b Volcano plots of differential expression. Fold-change (log2 scale) is plotted on the x-axis, and FDR-adjusted p-values are plotted on the y-axis. Mitochondrial genes are shown in purple. c Hürthle Index Score. Red dashed line indicates the cut-off for HI+ vs. HI-. The green boxplot represents the score for cytopathology Hürthle negative samples and the purple boxplot represents cytopathology Hürthle positive samples. d ROC curve showing classifier performance. The red-dashed lines indicate performance at the selected cutoff

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