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. 2020 Aug 23;11(9):981. doi: 10.3390/genes11090981

Table 4.

Prediction on CPC2 dataset.

Species Methods SEN% SPE% ACC% MCC%
Humans CPAT 90.247 95.409 92.574 85.285
CPC2 92.692 95.995 94.181 88.386
PreLnc 96.072 98.893 97.344 94.705
PLEK 92.866 89.086 91.163 82.132
LncFinder 93.106 96.239 94.518 89.054
Mice CPAT 97.879 91.003 93.601 87.154
CPC2 94.892 93.871 94.257 87.972
PreLnc 92.167 92.254 92.221 83.677
PLEK 96.409 85.888 89.986 80.498
LncFinder 96.703 95.412 95.912 91.428
A. thaliana CPAT 99.961 93.371 94.391 82.777
CPC2 99.649 95.310 95.981 95.981
PreLnc 98.205 100.000 99.722 98.936
PLEK 98.712 86.004 87.972 68.947
LncFinder 96.721 93.443 93.951 80.768
RNAplonc 98.205 94.101 94.737 83.181
PLncPRO 99.141 94.881 95.540 85.552

The numbers in bold are the highest parameters of the prediction results. The datasets consist of humans (lncRNAs: 6142, mRNAs: 7485), mice (lncRNAs: 10638, mRNAs: 6460), and A. thaliana (lncRNAs: 2562, mRNAs: 13986). PreLnc had the highest prediction accuracy of 97.344% on humans and 99.722% on A. thaliana, and LncFinder had the highest prediction accuracy of 95.912% on mice.