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Table 3 Comparison of G2DE and two existing pre-miRNA identification packages.

From: Predicting microRNA precursors with a generalized Gaussian components based density estimation algorithm

Method

#kernels

%SE

%SP

%ACC

%Fm

%MCC

miPred

280

88.80%

96.55%

92.67%

92.38%

85.60%

miR-KDE

920

89.22%

96.12%

92.67%

92.41%

85.55%

G2DE

6

87.07%

97.84%

92.46%

92.03%

85.41%

G2DE-2

36

90.09%

96.55%

93.32%

93.10%

87.16%

  1. The best performance among each evaluation index is highlighted with bold font. The G2DE-2 indicates the two-stage G2DE, which uses the first stage G2DE to cluster samples and than uses the second stage G2DE to classify each clusters.
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BMC Bioinformatics

ISSN: 1471-2105

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