Table 3 Performance comparison of our mSRFR model to others (RNAcon, CPC, CPC2, CNCI, and CPPred) used in discriminating ncRNAs and CDS of microalgae
From: mSRFR: a machine learning model using microalgal signature features for ncRNA classification
RNAcon | CPC | CPC2 | CNCI | CPPred | mRFR | mSRFR | ||
|---|---|---|---|---|---|---|---|---|
Cyanobacteria | ACC (%) | 72 | 93 | 71 | 55 | 70 | 99 | 99 |
Sn (%) | 94 | 90 | 99 | 70 | 100 | 99 | 99 | |
Sp (%) | 19 | 99 | 2 | 20 | 0 | 99 | 99 | |
FPR | 0.81 | 0.01 | 0.98 | 0.8 | 1 | 0.01 | 0.01 | |
Diatom | ACC (%) | 77 | 94 | 85 | 73 | 78 | 99 | 99 |
Sn (%) | 76 | 96 | 100 | 71 | 100 | 99 | 99 | |
Sp (%) | 80 | 85 | 34 | 78 | 0 | 99 | 99 | |
FPR | 0.20 | 0.15 | 0.66 | 0.22 | 1 | 0.01 | 0.01 | |
Golden Algae | ACC (%) | 87 | 81 | 80 | 86 | 73 | 93 | 95 |
Sn (%) | 95 | 83 | 100 | 97 | 100 | 92 | 93 | |
Sp (%) | 67 | 85 | 26 | 60 | 0 | 93 | 99 | |
FPR | 0.33 | 0.15 | 0.74 | 0.40 | 1 | 0.07 | 0.01 | |
Green Algae | ACC (%) | 65 | 72 | 73 | 89 | 22 | 99 | 99 |
Sn (%) | 70 | 99 | 100 | 67 | 100 | 99 | 99 | |
Sp (%) | 63 | 64 | 66 | 96 | 0 | 99 | 99 | |
FPR | 0.37 | 0.36 | 0.34 | 0.04 | 1 | 0.01 | 0.01 | |