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Table 6 Comparison of OMiMa PVLMM and MEM for donor site prediction. Comparing OMiMa with PVLMM and MEM for donor splice site prediction. The table shows Matthews correlation efficients (Mc) of top 4 models from each model class. The splice site data and results of MEM models were from Yeo and Burge [23]. In the 3-fold cross validation, the sample sizes for both training and testing sets are approximately equal to those of the original partition by Yeo and Burge.

From: Optimized mixed Markov models for motif identification

MEM

PVLMM

OMiMa

sub-model

Mc

sub-model

Mc (Org./3-CV)

sub-model

Mc (Org./3-CV)

me2x5

0.659

P:2-2

0.629/0.631

3-C-1

0.658/0.663

me2x4

0.655

P:3-2

0.626/0.632

3-L-1

0.654/0.657

me2x3

0.653

P:4-2

0.625/0.630

2-C-1

0.647/0.657

me5s0

0.653

P:4-3

0.622/0.628

2-L-1

0.643/0.653