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Table 1 Receiver operator characteristic (ROC) curve analysis with area under the curve (AUC), sensitivity, and specificity

From: Use of nCounter mRNA profiling to identify at-arrival gene expression patterns for predicting bovine respiratory disease in beef cattle

Comparison

Gene

AUC

Cutoff

Sensitivity

Specificity

Treated_1 vs Healthy

ALDH1A1

0.520

8.115

0.360

0.730

Treated_2+ vs Healthy

0.533

8.585

0.667

0.478

Treated_2+ vs Treated_1

0.494

8.143

0.767

0.371

Treated_1 vs Healthy

ALOX15

0.590

12.855

0.966

0.191

Treated_2+ vs Healthy

0.635

8.703

0.400

0.904

Treated_2+ vs Treated_1

0.554

8.415

0.333

0.865

Treated_1 vs Healthy

BGN

0.514

8.115

0.348

0.730

Treated_2+ vs Healthy

0.527

8.585

0.667

0.478

Treated_2+ vs Treated_1

0.508

8.503

0.633

0.472

Treated_1 vs Healthy

CATHL3

0.540

8.388

0.416

0.696

Treated_2+ vs Healthy

0.625

8.585

0.633

0.626

Treated_2+ vs Treated_1

0.577

8.878

0.767

0.436

Treated_1 vs Healthy

CD27

0.524

13.946

0.382

0.730

Treated_2+ vs Healthy

0.659

14.306

0.800

0.557

Treated_2+ vs Treated_1

0.613

14.310

0.800

0.506

Treated_1 vs Healthy

CFB

0.483

9.629

0.483

0.583

Treated_2+ vs Healthy

0.656

10.058

0.667

0.661

Treated_2+ vs Treated_1

0.618

9.673

0.767

0.494

Treated_1 vs Healthy

CPB2

0.588

8.714

0.562

0.652

Treated_2+ vs Healthy

0.679

8.793

0.767

0.635

Treated_2+ vs Treated_1

0.573

9.020

0.833

0.404

Treated_1 vs Healthy

DSG1

0.516

8.115

0.360

0.739

Treated_2+ vs Healthy

0.499

8.792

0.733

0.374

Treated_2+ vs Treated_1

0.475

0.900

0.800

0.281

Treated_1 vs Healthy

DSP

0.499

8.115

0.337

0.739

Treated_2+ vs Healthy

0.494

8.585

0.600

0.487

Treated_2+ vs Treated_1

0.489

8.482

0.567

0.517

Treated_1 vs Healthy

GCSAML

0.543

9.225

0.337

0.774

Treated_2+ vs Healthy

0.750

9.340

0.700

0.739

Treated_2+ vs Treated_1

0.694

9.586

0.800

0.584

Treated_1 vs Healthy

GYPA

0.571

8.800

0.584

0.565

Treated_2+ vs Healthy

0.692

8.801

0.800

0.565

Treated_2+ vs Treated_1

0.612

8.881

0.833

0.404

Treated_1 vs Healthy

GZMB

0.609

10.318

0.618

0.583

Treated_2+ vs Healthy

0.732

9.786

0.700

0.696

Treated_2+ vs Treated_1

0.640

9.488

0.633

0.652

Treated_1 vs Healthy

HERC6

0.575

14.942

0.663

0.504

Treated_2+ vs Healthy

0.741

15.352

0.600

0.835

Treated_2+ vs Treated_1

0.660

15.352

0.600

0.719

Treated_1 vs Healthy

HPDG

0.608

9.582

0.809

0.391

Treated_2+ vs Healthy

0.617

8.964

0.700

0.609

Treated_2+ vs Treated_1

0.522

8.952

0.700

0.494

Treated_1 vs Healthy

IFI6

0.585

15.478

0.494

0.687

Treated_2+ vs Healthy

0.699

15.496

0.733

0.687

Treated_2+ vs Treated_1

0.631

15.630

0.667

0.640

Treated_1 vs Healthy

IL5RA

0.622

10.898

0.775

0.443

Treated_2+ vs Healthy

0.651

8.907

0.433

0.852

Treated_2+ vs Treated_1

0.555

8.921

0.433

0.742

Treated_1 vs Healthy

ISG15

0.545

16.689

0.708

0.417

Treated_2+ vs Healthy

0.699

17.930

0.600

0.800

Treated_2+ vs Treated_1

0.657

17.606

0.733

0.596

Treated_1 vs Healthy

ITGA4

0.540

15.461

0.303

0.817

Treated_2+ vs Healthy

0.676

15.674

0.633

0.713

Treated_2+ vs Treated_1

0.622

15.921

0.733

0.551

Treated_1 vs Healthy

KLF17

0.530

8.115

0.337

0.791

Treated_2+ vs Healthy

0.596

8.589

0.700

0.522

Treated_2+ vs Treated_1

0.552

8.996

0.867

0.303

Treated_1 vs Healthy

KRT10

0.509

8.115

0.337

0.748

Treated_2+ vs Healthy

0.471

8.444

0.500

0.557

Treated_2+ vs Treated_1

0.460

9.283

0.833

0.225

Treated_1 vs Healthy

LOC100297044

0.629

13.045

0.899

0.313

Treated_2+ vs Healthy

0.868

9.952

0.467

0.904

Treated_2+ vs Treated_1

0.577

9.981

0.467

0.764

Treated_1 vs Healthy

LOC100335828

0.529

9.695

0.371

0.730

Treated_2+ vs Healthy

0.731

9.784

0.700

0.704

Treated_2+ vs Treated_1

0.688

10.079

0.800

0.562

Treated_1 vs Healthy

LRG1

0.479

8.116

0.315

0.739

Treated_2+ vs Healthy

0.566

8.585

0.700

0.487

Treated_2+ vs Treated_1

0.579

8.996

0.867

0.337

Treated_1 vs Healthy

LTF

0.613

9.191

0.629

0.635

Treated_2+ vs Healthy

0.727

8.885

0.667

0.551

Treated_2+ vs Treated_1

0.615

9.211

0.800

0.617

Treated_1 vs Healthy

MCF2L

0.510

8.300

0.427

0.635

Treated_2+ vs Healthy

0.532

8.585

0.667

0.487

Treated_2+ vs Treated_1

0.514

8.996

0.867

0.292

Treated_1 vs Healthy

MGC126945

0.532

16.117

0.506

0.643

Treated_2+ vs Healthy

0.638

16.293

0.700

0.591

Treated_2+ vs Treated_1

0.617

15.081

0.267

0.933

Treated_1 vs Healthy

MS4A2

0.506

8.115

0.326

0.783

Treated_2+ vs Healthy

0.608

8.591

0.700

0.548

Treated_2+ vs Treated_1

0.591

8.997

0.867

0.404

Treated_1 vs Healthy

MX1

0.581

17.544

0.427

0.800

Treated_2+ vs Healthy

0.677

17.420

0.667

0.713

Treated_2+ vs Treated_1

0.598

17.643

0.500

0.742

Treated_1 vs Healthy

SLC18A2

0.494

8.998

0.281

0.783

Treated_2+ vs Healthy

0.563

8.585

0.700

0.478

Treated_2+ vs Treated_1

0.552

8.503

0.667

0.494

Treated_1 vs Healthy

SPP1

0.514

8.115

0.348

0.730

Treated_2+ vs Healthy

0.529

8.585

0.667

0.487

Treated_2+ vs Treated_1

0.508

8.996

0.833

0.281

Treated_1 vs Healthy

IFN (HERC6, IFI6, ISG15, MX1)

0.578

64.739

0.652

0.539

Treated_2+ vs Healthy

0.730

66.093

0.733

0.748

Treated_2+ vs Treated_1

0.661

65.926

0.767

0.618

Treated_1 vs Healthy

SPM (ALOX15, HPGD)

0.598

17.288

0.292

0.887

Treated_2+ vs Healthy

0.646

17.407

0.433

0.878

Treated_2+ vs Treated_1

0.548

17.787

0.467

0.685

  1. ROC evaluation was used to generate log2CPM cutoffs for decision tree construction and assess DEGs as single-molecule predictors of BRD severity