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Figure 1 | BMC Medical Genomics

Figure 1

From: A novel method for finding non-small cell lung cancer diagnosis biomarkers

Figure 1

Comparing the ROC curves of a gene with high Lorenz-Gini value (MAP4) and a gene with low Lorenz-Gini value (NME3) for differentiating between lung adenocarcinomas and normal lung reveals the area under the curve, standard error and 95% confidence interval for MAP4 are 0.888, 0.0576 and 0.828-0.933 in comparison with 0.518, 0.0568 and 0.437-0.599 for NME3, respectively.

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