From: A robust and stable gene selection algorithm based on graph theory and machine learning
 |  | Average jaccard indices (\({JI}_{avg}\)) | Average informedness (\({I}_{avg}\)) | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Dataset | Top genes | SU | GR | KLD | RELIEF | SVM-RFE | RSGSA | SU | GR | KLD | RELIEF | SVM-RFE | RSGSA |
D1 | 50 | 0.18 | 0.21 | 0.05 | 0.29 | 0.22 | 0.38 | 0.63 | 0.62 | 0.52 | 0.67 | 0.75 | 0.86 |
100 | 0.21 | 0.21 | 0.11 | 0.31 | 0.28 | 0.41 | 0.67 | 0.68 | 0.67 | 0.64 | 0.75 | 0.85 | |
150 | 0.23 | 0.23 | 0.14 | 0.32 | 0.31 | 0.44 | 0.66 | 0.67 | 0.62 | 0.62 | 0.74 | 0.84 | |
200 | 0.25 | 0.25 | 0.18 | 0.33 | 0.34 | 0.47 | 0.66 | 0.68 | 0.61 | 0.62 | 0.74 | 0.86 | |
D2 | 50 | 0.04 | 0.06 | 0.02 | 0.05 | 0.14 | 0.23 | 0.14 | 0.06 | 0.05 | 0.33 | 0.56 | 0.74 |
100 | 0.05 | 0.06 | 0.03 | 0.06 | 0.19 | 0.25 | 0.21 | 0.17 | 0.01 | 0.34 | 0.59 | 0.79 | |
150 | 0.07 | 0.08 | 0.05 | 0.07 | 0.21 | 0.27 | 0.19 | 0.27 | 0.11 | 0.38 | 0.63 | 0.79 | |
200 | 0.08 | 0.08 | 0.07 | 0.08 | 0.24 | 0.29 | 0.18 | 0.33 | 0.16 | 0.36 | 0.68 | 0.84 | |
D3 | 50 | 0.39 | 0.44 | 0.05 | 0.24 | 0.32 | 0.56 | 0.92 | 0.90 | 0.81 | 0.93 | 0.96 | 0.99 |
100 | 0.35 | 0.43 | 0.05 | 0.22 | 0.34 | 0.52 | 0.95 | 0.92 | 0.83 | 0.92 | 0.98 | 0.99 | |
150 | 0.33 | 0.43 | 0.07 | 0.22 | 0.35 | 0.53 | 0.92 | 0.92 | 0.88 | 0.91 | 0.98 | 0.99 | |
200 | 0.31 | 0.42 | 0.08 | 0.22 | 0.37 | 0.53 | 0.93 | 0.93 | 0.88 | 0.94 | 0.97 | 0.99 | |
D4 | 50 | 0.04 | 0.09 | 0.01 | 0.03 | 0.12 | 0.17 | 0.38 | 0.23 | 0.26 | 0.45 | 0.55 | 0.47 |
100 | 0.05 | 0.13 | 0.02 | 0.04 | 0.17 | 0.19 | 0.39 | 0.22 | 0.31 | 0.40 | 0.57 | 0.45 | |
150 | 0.06 | 0.11 | 0.03 | 0.05 | 0.18 | 0.21 | 0.38 | 0.20 | 0.25 | 0.44 | 0.61 | 0.50 | |
200 | 0.07 | 0.11 | 0.04 | 0.06 | 0.20 | 0.22 | 0.40 | 0.25 | 0.29 | 0.43 | 0.59 | 0.52 | |
D5 | 50 | 0.84 | 0.78 | 0.66 | 0.61 | 0.56 | 0.65 | 0.99 | 0.99 | 0.99 | 0.99 | 1.00 | 1.00 |
100 | 0.73 | 0.65 | 0.54 | 0.73 | 0.56 | 0.63 | 1.00 | 1.00 | 1.00 | 0.99 | 1.00 | 1.00 | |
150 | 0.73 | 0.61 | 0.48 | 0.81 | 0.55 | 0.64 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | |
200 | 0.74 | 0.60 | 0.44 | 0.81 | 0.56 | 0.65 | 1.00 | 1.00 | 0.99 | 1.00 | 1.00 | 1.00 | |
Average | 50 | 0.30 | 0.32 | 0.16 | 0.24 | 0.27 | 0.40 | 0.61 | 0.56 | 0.53 | 0.67 | 0.76 | 0.81 |
100 | 0.28 | 0.30 | 0.15 | 0.27 | 0.31 | 0.40 | 0.64 | 0.60 | 0.56 | 0.66 | 0.78 | 0.82 | |
150 | 0.28 | 0.29 | 0.15 | 0.29 | 0.32 | 0.42 | 0.63 | 0.61 | 0.57 | 0.67 | 0.79 | 0.82 | |
200 | 0.29 | 0.29 | 0.16 | 0.30 | 0.34 | 0.43 | 0.63 | 0.64 | 0.59 | 0.67 | 0.80 | 0.84 | |
Average RSGSA gain | 50 | 0.33 | 0.25 | 1.50 | 0.67 | 0.48 | Â | 0.33 | 0.45 | 0.53 | 0.21 | 0.07 | Â |
100 | 0.43 | 0.33 | 1.67 | 0.48 | 0.29 | Â | 0.28 | 0.37 | 0.46 | 0.24 | 0.05 | Â | |
150 | 0.50 | 0.45 | 1.80 | 0.45 | 0.31 | Â | 0.30 | 0.34 | 0.44 | 0.22 | 0.04 | Â | |
200 | 0.48 | 0.48 | 1.69 | 0.43 | 0.26 | Â | 0.33 | 0.31 | 0.42 | 0.25 | 0.05 | Â |