Microarray | Algorithms | Apparent error | B1 Error | Gap estimate | B.632+ Error | ||||
---|---|---|---|---|---|---|---|---|---|
data sets | /Methods | Error | miRNAs | Error | miRNAs | Error | miRNAs | Error | miRNAs |
Golub et al. | 0.000 | 19 | 0.194 | 32 | 0.258 | 32 | 0.146 | 32 | |
Lasso | 0.056 | 2 | 0.266 | 2 | 0.125 | 2 | 0.229 | 2 | |
Boosting | 0.000 | 5 | 0.113 | 10 | 0.090 | 10 | 0.094 | 10 | |
GSE17681 | InfoGain | 0.000 | 6 | 0.154 | 21 | 0.290 | 21 | 0.111 | 21 |
mRMR | 0.000 | 10 | 0.175 | 28 | 0.267 | 28 | 0.129 | 28 | |
RSMRMS | 0.000 | 8 | 0.142 | 24 | 0.299 | 24 | 0.102 | 24 | |
μHEM | 0.000 | 5 | 0.120 | 50 | 0.325 | 50 | 0.084 | 50 | |
Golub et al. | 0.000 | 6 | 0.116 | 48 | 0.363 | 48 | 0.081 | 48 | |
Lasso | 0.024 | 3 | 0.102 | 3 | 0.241 | 2 | 0.079 | 3 | |
Boosting | 0.000 | 4 | 0.037 | 9 | 0.170 | 9 | 0.025 | 9 | |
GSE17846 | InfoGain | 0.000 | 7 | 0.093 | 37 | 0.387 | 37 | 0.063 | 37 |
mRMR | 0.000 | 3 | 0.101 | 48 | 0.379 | 48 | 0.069 | 48 | |
RSMRMS | 0.000 | 2 | 0.093 | 39 | 0.386 | 39 | 0.064 | 39 | |
μHEM | 0.000 | 2 | 0.087 | 49 | 0.392 | 49 | 0.059 | 49 | |
Golub et al. | 0.000 | 35 | 0.069 | 48 | 0.368 | 39 | 0.047 | 48 | |
Lasso | 0.043 | 5 | 0.061 | 6 | 0.074 | 6 | 0.057 | 6 | |
Boosting | 0.099 | 3 | 0.107 | 3 | 0.074 | 3 | 0.104 | 3 | |
GSE21036 | InfoGain | 0.000 | 39 | 0.073 | 50 | 0.372 | 44 | 0.049 | 50 |
mRMR | 0.000 | 19 | 0.064 | 49 | 0.376 | 50 | 0.043 | 49 | |
RSMRMS | 0.050 | 5 | 0.089 | 5 | 0.328 | 5 | 0.075 | 5 | |
μHEM | 0.000 | 42 | 0.058 | 47 | 0.386 | 47 | 0.039 | 47 | |
Boosting | 0.099 | 8 | 0.211 | 8 | 0.057 | 8 | 0.192 | 8 | |
InfoGain | 0.000 | 26 | 0.257 | 45 | 0.218 | 46 | 0.203 | 45 | |
GSE24709 | mRMR | 0.000 | 24 | 0.245 | 50 | 0.229 | 50 | 0.191 | 50 |
RSMRMS | 0.141 | 11 | 0.402 | 11 | 0.123 | 2 | 0.366 | 11 | |
μHEM | 0.000 | 20 | 0.234 | 49 | 0.241 | 49 | 0.180 | 49 | |
Golub et al. | 0.000 | 27 | 0.300 | 27 | 0.173 | 3 | 0.248 | 27 | |
Lasso | 0.045 | 4 | 0.251 | 4 | 0.118 | 4 | 0.215 | 4 | |
Boosting | 0.023 | 7 | 0.191 | 8 | 0.131 | 4 | 0.160 | 8 | |
GSE28700 | InfoGain | 0.000 | 35 | 0.309 | 8 | 0.159 | 8 | 0.271 | 21 |
mRMR | 0.000 | 21 | 0.333 | 49 | 0.140 | 7 | 0.285 | 49 | |
RSMRMS | 0.023 | 34 | 0.331 | 19 | 0.140 | 15 | 0.285 | 19 | |
μHEM | 0.000 | 25 | 0.306 | 4 | 0.194 | 4 | 0.257 | 4 | |
Golub et al. | 0.000 | 36 | 0.073 | 1 | 0.364 | 1 | 0.069 | 1 | |
Lasso | 0.061 | 3 | 0.072 | 4 | 0.184 | 1 | 0.068 | 4 | |
Boosting | 0.081 | 2 | 0.087 | 2 | 0.085 | 1 | 0.085 | 2 | |
GSE31408 | InfoGain | 0.007 | 20 | 0.090 | 9 | 0.331 | 1 | 0.077 | 27 |
mRMR | 0.000 | 37 | 0.094 | 6 | 0.331 | 1 | 0.074 | 6 | |
RSMRMS | 0.061 | 2 | 0.086 | 6 | 0.336 | 2 | 0.077 | 6 | |
μHEM | 0.000 | 44 | 0.098 | 2 | 0.354 | 50 | 0.067 | 50 |