Table 2. Training datasets for different classifiers.
Problem 1 | Problem 2 | Problem 3 | |
Beneficial | 208 | 878 = 208(B)+670(N) | 208 |
Neutral | - | 670 | |
Detrimental | 1,076 | 1,076 | 1,076 |
Unlabeled | 17,692 | 17,692 | 17,692 |
Different combinations of three types of nsSNPs are used for each of the three classification problems. The set of 878 PPI preserving mutations included both beneficial (B) and neutral (N) nsSNPs. The unlabeled set was used solely for semi-supervised learning methods.