From: Thresher: determining the number of clusters while removing outliers
Dataset | Sample # | Outlier # | Outlier percentage | Cluster # |
---|---|---|---|---|
GSE60785 | 55 | 10 | 18.18 | 2 |
GSE43358 | 57 | 5 | 8.77 | 3 |
GSE10810 | 58 | 0 | 0.00 | 6 |
GSE29431 | 66 | 2 | 3.03 | 9 |
GSE50939 | 71 | 1 | 1.41 | 2 |
GSE39004 | 72 | 9 | 12.50 | 4 |
GSE46184 | 74 | 8 | 10.81 | 4 |
GSE19177 | 75 | 2 | 2.67 | 4 |
GSE37145 | 76 | 0 | 0.00 | 7 |
GSE21921 | 85 | 3 | 3.53 | 6 |
GSE20711 | 90 | 18 | 20.00 | 7 |
GSE40115 | 92 | 1 | 1.09 | 5 |
GSE12622 | 103 | 0 | 0.00 | 7 |
GSE22093 | 103 | 3 | 2.91 | 5 |
GSE19783 | 115 | 1 | 0.87 | 8 |
GSE56493 | 120 | 6 | 5.00 | 6 |
GSE10885 | 125 | 4 | 3.20 | 7 |
GSE2607 | 126 | 3 | 2.38 | 7 |
GSE45255 | 139 | 10 | 7.19 | 8 |
GSE45827 | 155 | 9 | 5.81 | 6 |
GSE3143 | 158 | 6 | 3.80 | 7 |
GSE53031 | 167 | 10 | 5.99 | 6 |
GSE2741 | 169 | 7 | 4.14 | 6 |
GSE1992 | 170 | 8 | 4.71 | 8 |
GSE4611 | 218 | 23 | 10.55 | 9 |