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Table 4 The performance of the predictive models in predicting other brain diseases

From: Construct of qualitative diagnostic biomarkers specific for glioma by pairing serum microRNAs

GEO accession

Phenotype

Sample No.

5-miRPairs No. (Percentage)b

32-miRPairs No. (Percentage)

GSE117064

Healthy

1612(1543)a

0(0%)

–

Stroke

173(165)

0(0%)

–

GSE120584

Healthy

288(277)

0(0%)

–

Alzheimer’s disease

1021(973)

0(0%)

–

GSE139031

Meningioma

17(16)

16(100%)

13(82.15%)

PCNSL

42(39)

39(100%)

36(92.31%)

  1. aThe number in the bracket indicates the remaining sample size after removing outlier samples
  2. bThe number outside the bracket and the percentages inside the bracket indicate the number and percentage of samples predicted to be positive, respectively