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Fig. 4 | BMC Bioinformatics

Fig. 4

From: LOCC: a novel visualization and scoring of cutoffs for continuous variables with hepatocellular carcinoma prognosis as an example

Fig. 4

LOCC score helps rank prognostic importance of predictors A Genes were evaluated and ranked by ROC AUC. B Genes were evaluated and ranked by LOCC score. C The ROC curve is shown for TCGA hepatocellular carcinoma KIF20A expression and the AUC is calculated. D The LOCC cutoff selection is graphed for TCGA hepatocellular carcinoma KIF20A expression. E A Kaplan–Meier curve is plotted for KIF20A at the most significant cutoff. Patients’ survival times are expressed in days. P values are calculated using log-rank test. HR are calculated using Cox proportional hazard regression

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BMC Bioinformatics

ISSN: 1471-2105

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