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Table 2 Average accuracy (error rate) and average size of the gene panel (number of selected genes) selected by automated predictors of infected state (class) for different viral challenges (data from DEE2/DEE5, DEE3/DEE4 and HRV-UVA/HRV-Duke were pooled and designated as H3N2, H1N1, and HRV in table). Shown are the reference-aided predictor (w/ baseline reference), the standard predictor (w/o baseline reference), the standard predictor with constraints to have the similar complexity in terms of the number of genes as the reference-aided predictor (constrained standard predictor), and the differential predictor. Across all viruses the inclusion of the baseline reference results in a decrease in error rate and a reduction in the number of genes used by the predictor. The reported accuracy and size of panel were computed by cross-validation of the predictors using leave-one-subject-out resampling to partition the data into training and target samples

From: An individualized predictor of health and disease using paired reference and target samples

Virus

H3N2

H1N1

HRV

RSV

Classes

2345

2345

2345

234

w/ baseline reference

    

Error rate

0.386

0.480

0.483

0.635

Number of selected genes

200.34

287.54

287.55

238.53

w/o baseline reference

    

Error rate

0.448

0.508

0.526

0.728

Number of selected genes

327.90

420.25

358.48

593.82

Constrained standard predictor

    

Error rate

0.458

0.517

0.544

0.737

Number of selected genes

207.38

271.83

298.00

243.29

Differential predictor

    

Error rate

0.415

0.492

0.571

0.678

Number of selected genes

481.48

1209.46

464.39

503.29