Table 3. Fraction of domains correctly classified at different SCOP hierarchy levels using a Nearest-Neighbor classifier built with similarity scores produced by different PSC and MCPSC methods.
Original dataset | Common subset | Imputed dataset | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
SCOP Level | 1 | 2 | 3 | 4 | 1 | 2 | 3 | 4 | 1 | 2 | 3 | 4 |
TM-align | 1.00 | 1.00 | 0.99 | 0.99 | 0.74 | 0.57 | 0.57 | 0.57 | 1.00 | 1.00 | 0.99 | 0.99 |
CE | 0.78 | 0.61 | 0.61 | 0.60 | 0.63 | 0.47 | 0.47 | 0.47 | 0.76 | 0.60 | 0.60 | 0.58 |
GRALIGN | 1.00 | 1.00 | 1.00 | 1.00 | 0.74 | 0.57 | 0.57 | 0.57 | 0.89 | 0.89 | 0.89 | 0.88 |
FAST | 0.20 | 0.08 | 0.08 | 0.08 | 0.19 | 0.07 | 0.07 | 0.07 | 0.20 | 0.08 | 0.08 | 0.08 |
USM | 0.84 | 0.72 | 0.67 | 0.65 | 0.65 | 0.51 | 0.49 | 0.49 | 0.84 | 0.72 | 0.67 | 0.65 |
M1 | 0.99 | 0.98 | 0.98 | 0.98 | 0.73 | 0.57 | 0.56 | 0.56 | 0.99 | 0.99 | 0.98 | 0.98 |
M2 | 0.99 | 0.98 | 0.98 | 0.98 | 0.75 | 0.57 | 0.56 | 0.56 | 0.99 | 0.98 | 0.97 | 0.97 |
M3 | 1.00 | 1.00 | 1.00 | 1.00 | 0.74 | 0.57 | 0.57 | 0.57 | 1.00 | 1.00 | 1.00 | 1.00 |
M4 | 0.99 | 0.99 | 0.99 | 0.99 | 0.72 | 0.57 | 0.57 | 0.57 | 0.99 | 0.99 | 0.99 | 0.99 |
M5 | 1.00 | 1.00 | 1.00 | 1.00 | 0.74 | 0.57 | 0.57 | 0.57 | 1.00 | 1.00 | 1.00 | 1.00 |
Median MCPSC | 0.99 | 0.99 | 0.99 | 0.99 | 0.74 | 0.57 | 0.57 | 0.57 | 0.99 | 0.99 | 0.99 | 0.99 |