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Table 3 Results for cross-validation using different algorithms.

From: HHMMiR: efficient de novo prediction of microRNAs using hierarchical hidden Markov models

Method

Sn (SD)

Sp (SD)

MCC

FDR (SD)

Baum-Welch

84.0 (18.6)

88.0 (6.6)

0.73

11.8 (5.6)

MLE

74.5 (13.7)

94.1 (2.7)

0.71

15.9 (8.0)

  1. Sn: sensitivity; Sp: specificity; MCC: Mathew's correlation coefficient; FDR: False Discovery Rate. Sn, Sp and FDR report the average percent values; standard deviations are reported in parentheses.
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BMC Bioinformatics

ISSN: 1471-2105

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