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Table 2 Each index value of the ROC curve in training set and validation set

From: Identification and validation of an eight-lncRNA signature that predicts prognosis in patients with esophageal squamous cell carcinoma

Datasets

ROC

AUC

Sensitivity

Specificity

PPV

NPV

Training set (GSE53625, N = 358)

0.997

0.989

0.994

0.994

0.989

Validation set (TCGA, N = 173)

0.901

0.933

0.746

0.907

0.909

  1. AUC area under the curve, PPV positive prediction value, NPV negative prediction value
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Cellular & Molecular Biology Letters

ISSN: 1689-1392

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