From: A dynamic Bayesian network approach to protein secondary structure prediction
 | Method Y | ||||||||
---|---|---|---|---|---|---|---|---|---|
Method X | PROF_king | SAM-T99 | PSIPRED | PROFsec | PHDpsi | DBNN | CM1 | CM2 | CM3 |
Q 3 : | Â | Â | Â | Â | Â | Â | Â | Â | Â |
PROF_king | -- | -4.70 | -3.99 | -3.56 | -1.88 | -4.52 | -6.19 | -6.93 | -6.88 |
SAM_T99 | 4.70 | -- | 0.50 | 0.93 | 2.45 | -0.16 | -1.41 | -2.09 | -3.02 |
PSIPRED | 3.99 | -0.50 | -- | 0.53 | 2.18 | -0.63 | -2.01 | -2.62 | -3.38 |
PROFsec | 3.56 | -0.93 | -0.53 | -- | 2.31 | -0.94 | -2.87 | -3.22 | -3.72 |
PHDpsi | 1.88 | -2.45 | -2.18 | -2.31 | -- | -2.48 | -4.55 | -5.11 | -5.10 |
DBNN | 4.52 | 0.16 | 0.63 | 0.94 | 2.48 | -- | -0.91 | -1.61 | -2.50 |
CM1 | 6.19 | 1.41 | 2.01 | 2.87 | 4.55 | 0.91 | -- | -1.65 | -2.82 |
CM2 | 6.93 | 2.09 | 2.62 | 3.22 | 5.11 | 1.61 | 1.65 | -- | -1.48 |
CM3 | 6.88 | 3.02 | 3.38 | 3.72 | 5.10 | 2.50 | 2.82 | 1.48 | -- |
SOV: | Â | Â | Â | Â | Â | Â | Â | Â | Â |
PROF_king | -- | -4.05 | -3.89 | -3.80 | -1.99 | -3.69 | -5.30 | -5.66 | -5.86 |
SAM_T99 | 4.05 | -- | 0.54 | -0.06 | 2.43 | 0.36 | -0.20 | -0.35 | -1.21 |
PSIPRED | 3.89 | -0.54 | -- | -0.62 | 1.77 | -0.19 | -0.97 | -1.22 | -2.57 |
PROFsec | 3.80 | 0.06 | 0.62 | -- | 2.93 | 0.37 | -0.15 | -0.28 | -1.12 |
PHDpsi | 1.99 | -2.43 | -1.77 | -2.93 | -- | -1.67 | -3.30 | -3.30 | -3.82 |
DBNN | 3.69 | -0.36 | 0.19 | -0.37 | 1.67 | -- | -0.58 | -0.83 | -1.83 |
CM1 | 5.30 | 0.20 | 0.97 | 0.15 | 3.30 | 0.58 | -- | -0.27 | -2.03 |
CM2 | 5.66 | 0.35 | 1.22 | 0.28 | 3.30 | 0.83 | 0.27 | -- | -2.55 |
CM3 | 5.86 | 1.21 | 2.57 | 1.12 | 3.82 | 1.83 | 2.03 | 2.55 | -- |