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Table 2 ROC parameters

From: Transcriptome analysis identifies putative multi-gene signature distinguishing benign and malignant pancreatic head mass

Gene

Parameters

GSE15471

GSE28735

GSE62452

Merged Dataset

CDCA7

Sensitivity

0.769

0.689

0.812

0.673

Specificity

0.667

0.822

0.639

0.703

AUROC

0.736

0.79

0.747

0.722

DLGAP5

Sensitivity

0.769

0.889

0.87

0.804

Specificity

0.692

0.756

0.721

0.731

AUROC

0.779

0.842

0.83

0.814

FOXM1

Sensitivity

0.821

0.778

0.681

0.712

Specificity

0.641

0.756

0.738

0.724

AUROC

0.721

0.817

0.764

0.768

OSBPL3

Sensitivity

0.769

0.844

0.783

0.804

Specificity

0.744

0.778

0.803

0.759

AUROC

0.87

0.856

0.852

0.857

TPX2

Sensitivity

0.718

0.844

0.826

0.771

Specificity

0.744

0.844

0.754

0.786

AUROC

0.743

0.850

0.837

0.818

CDCA7 + DLGAP5 + FOXM1 + TPX2 + OSBPL3

Sensitivity

–

–

–

0.847

Specificity

–

–

–

0.902

AUROC

–

–

–

0.942

  1. This table shows the ROC parameters for the selected genes individually in each datasets, merged dataset as well as all genes combined in merged dataset