Spreadsheet: 0720283e-c3fe-4578-81f5-ee79206965e8
Sheet: Processed

From | To | OptScore | PPICount | PPIpvalue | MSIGDBCounts | MSIGDBpvalue | MouseNETCounts | MouseNETpvalue | CHEAdirCounts | CHEAdirpvalue | Self | PPI_Validated | MSIGDB_Validated | MouseNET_Validated | CHEAdir_Validated | Any_Validated | Sum_Validation | TruePositives
cluster_1 | cluster_1 | 1 | 88 | 0 | 20 | 0.062 | 8 | 0.67 | 0 | 1 | 1
cluster_1 | cluster_10 | 0 | 12 | 0.528 | 0 | 1 | 8 | 0.459 | 0 | 1
cluster_1 | cluster_11 | 0 | 39 | 0.003 | 14 | 0.351 | 18 | 0.114 | 0 | 1
cluster_1 | cluster_12 | 0 | 2 | 1 | 8 | 0.992 | 3 | 0.997 | 17 | 0.009
cluster_1 | cluster_13 | 0.4038583 | 21 | 0.138 | 7 | 0.601 | 20 | 0.008 | 1 | 0.997
cluster_1 | cluster_14 | 0 | 4 | 0.601 | 0 | 1 | 3 | 0.545 | 0 | 1
cluster_1 | cluster_15 | -0.3795333 | 12 | 0.168 | 9 | 0.002 | 4 | 0.848 | 46 | 0
cluster_1 | cluster_16 | 1.145405 | 3 | 0.639 | 0 | 1 | 3 | 0.204 | 0 | 1
cluster_1 | cluster_17 | 0 | 8 | 0.559 | 2 | 0.788 | 7 | 0.543 | 1 | 0.896
cluster_1 | cluster_18 | 0 | 5 | 0.168 | 6 | 0.001 | 5 | 0.021 | 0 | 1
cluster_1 | cluster_19 | 0 | 0 | 1 | 2 | 0.003 | 0 | 1 | 0 | 1
cluster_1 | cluster_2 | 0 | 2 | 1 | 21 | 0.039 | 5 | 0.729 | 0 | 1
cluster_1 | cluster_3 | 0 | 52 | 0.413 | 26 | 0.908 | 40 | 0.201 | 1 | 1
cluster_1 | cluster_4 | 0 | 33 | 0.674 | 18 | 0.809 | 17 | 0.961 | 0 | 1
cluster_1 | cluster_5 | 0 | 18 | 0.966 | 10 | 0.916 | 11 | 0.945 | 0 | 1
cluster_1 | cluster_6 | 0 | 4 | 0.923 | 0 | 1 | 4 | 0.807 | 0 | 1
cluster_1 | cluster_7 | 0.6896656 | 2 | 0.751 | 1 | 0.442 | 1 | 0.651 | 0 | 1
cluster_1 | cluster_8 | 0 | 1 | 0.785 | 0 | 1 | 1 | 0.529 | 0 | 1
cluster_1 | cluster_9 | 0 | 1 | 0.964 | 2 | 0.744 | 2 | 0.571 | 0 | 1
cluster_10 | cluster_1 | 0 | 12 | 0.528 | 0 | 1 | 8 | 0.459 | 0 | 1
cluster_10 | cluster_10 | 1 | 64 | 0 | 6 | 0.042 | 16 | 0.001 | 0 | 1 | 1
cluster_10 | cluster_11 | 0 | 18 | 0.189 | 3 | 0.84 | 12 | 0.199 | 0 | 1
cluster_10 | cluster_12 | 0.1395474 | 2 | 0.995 | 6 | 0.676 | 3 | 0.961 | 13 | 0
cluster_10 | cluster_13 | 0 | 15 | 0.117 | 0 | 1 | 24 | 0 | 1 | 0.916
cluster_10 | cluster_14 | 0 | 3 | 0.403 | 0 | 1 | 3 | 0.298 | 0 | 1
cluster_10 | cluster_15 | -0.1594053 | 7 | 0.268 | 1 | 0.461 | 5 | 0.369 | 21 | 0
cluster_10 | cluster_16 | 0 | 2 | 0.578 | 0 | 1 | 1 | 0.513 | 0 | 1
cluster_10 | cluster_17 | 0 | 5 | 0.568 | 2 | 0.291 | 6 | 0.358 | 1 | 0.591
cluster_10 | cluster_18 | 0 | 3 | 0.228 | 0 | 1 | 1 | 0.424 | 0 | 1
cluster_10 | cluster_19 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1
cluster_10 | cluster_2 | 0 | 3 | 0.929 | 2 | 0.962 | 9 | 0.044 | 0 | 1
cluster_10 | cluster_3 | 0.1929905 | 61 | 0 | 14 | 0.583 | 38 | 0.004 | 1 | 0.998
cluster_10 | cluster_4 | 0 | 21 | 0.714 | 5 | 0.954 | 18 | 0.472 | 0 | 1
cluster_10 | cluster_5 | 0 | 22 | 0.166 | 4 | 0.858 | 17 | 0.089 | 0 | 1
cluster_10 | cluster_6 | 0 | 8 | 0.113 | 0 | 1 | 10 | 0.014 | 0 | 1
cluster_10 | cluster_7 | 0 | 3 | 0.25 | 0 | 1 | 2 | 0.212 | 0 | 1
cluster_10 | cluster_8 | 0 | 2 | 0.336 | 0 | 1 | 0 | 1 | 0 | 1
cluster_10 | cluster_9 | 0 | 2 | 0.615 | 0 | 1 | 4 | 0.073 | 0 | 1
cluster_11 | cluster_1 | 0 | 39 | 0.003 | 14 | 0.351 | 18 | 0.114 | 0 | 1
cluster_11 | cluster_10 | 0 | 18 | 0.189 | 3 | 0.84 | 12 | 0.199 | 0 | 1
cluster_11 | cluster_11 | 1 | 114 | 0 | 38 | 0 | 28 | 0.031 | 0 | 1 | 1
cluster_11 | cluster_12 | 0 | 11 | 0.873 | 23 | 0.112 | 5 | 0.993 | 18 | 0.005
cluster_11 | cluster_13 | 0 | 24 | 0.151 | 15 | 0.02 | 33 | 0 | 3 | 0.94
cluster_11 | cluster_14 | 0 | 4 | 0.755 | 2 | 0.324 | 6 | 0.194 | 0 | 1
cluster_11 | cluster_15 | 0 | 19 | 0.012 | 14 | 0 | 12 | 0.122 | 44 | 0
cluster_11 | cluster_16 | 0.8370425 | 3 | 0.738 | 4 | 0.049 | 1 | 0.812 | 0 | 1
cluster_11 | cluster_17 | 0 | 10 | 0.509 | 4 | 0.429 | 13 | 0.137 | 3 | 0.505
cluster_11 | cluster_18 | 1.325684 | 5 | 0.245 | 10 | 0 | 3 | 0.224 | 0 | 1
cluster_11 | cluster_19 | 0 | 1 | 0.428 | 0 | 1 | 1 | 0.292 | 0 | 1
cluster_11 | cluster_2 | -0.2282702 | 9 | 0.841 | 14 | 0.529 | 10 | 0.278 | 0 | 1
cluster_11 | cluster_3 | 0 | 56 | 0.683 | 39 | 0.22 | 36 | 0.845 | 0 | 1
cluster_11 | cluster_4 | 0 | 27 | 0.994 | 38 | 0.002 | 32 | 0.418 | 0 | 1
cluster_11 | cluster_5 | 0 | 20 | 0.985 | 16 | 0.46 | 16 | 0.862 | 0 | 1
cluster_11 | cluster_6 | 0 | 13 | 0.114 | 2 | 0.945 | 10 | 0.185 | 0 | 1
cluster_11 | cluster_7 | 0 | 0 | 1 | 5 | 0.004 | 1 | 0.758 | 0 | 1
cluster_11 | cluster_8 | 0 | 2 | 0.637 | 1 | 0.471 | 0 | 1 | 0 | 1
cluster_11 | cluster_9 | 0 | 4 | 0.68 | 2 | 0.754 | 6 | 0.081 | 0 | 1
cluster_12 | cluster_1 | 0 | 2 | 1 | 8 | 0.992 | 3 | 0.997 | 0 | 1
cluster_12 | cluster_10 | 1.128806 | 2 | 0.995 | 6 | 0.676 | 3 | 0.961 | 0 | 1
cluster_12 | cluster_11 | 0 | 11 | 0.873 | 23 | 0.112 | 5 | 0.993 | 0 | 1
cluster_12 | cluster_12 | 1 | 42 | 0 | 116 | 0 | 20 | 0.052 | 14 | 0.006 | 1
cluster_12 | cluster_13 | 0 | 11 | 0.556 | 6 | 0.946 | 9 | 0.742 | 1 | 0.968
cluster_12 | cluster_14 | 0 | 0 | 1 | 0 | 1 | 3 | 0.542 | 0 | 1
cluster_12 | cluster_15 | 0 | 6 | 0.479 | 11 | 0.003 | 5 | 0.74 | 54 | 0
cluster_12 | cluster_16 | 0 | 7 | 0.013 | 1 | 0.735 | 1 | 0.713 | 0 | 1
cluster_12 | cluster_17 | 0 | 1 | 0.992 | 2 | 0.928 | 2 | 0.988 | 1 | 0.728
cluster_12 | cluster_18 | 0 | 1 | 0.722 | 0 | 1 | 0 | 1 | 0 | 1
cluster_12 | cluster_19 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1
cluster_12 | cluster_2 | 0 | 3 | 0.962 | 76 | 0 | 17 | 0.003 | 0 | 1
cluster_12 | cluster_3 | 0 | 31 | 0.825 | 89 | 0 | 23 | 0.996 | 1 | 1
cluster_12 | cluster_4 | 0 | 19 | 0.916 | 110 | 0 | 21 | 0.848 | 0 | 1
cluster_12 | cluster_5 | 0 | 9 | 0.997 | 15 | 0.936 | 15 | 0.733 | 0 | 1
cluster_12 | cluster_6 | 0 | 2 | 0.953 | 1 | 1 | 4 | 0.814 | 0 | 1
cluster_12 | cluster_7 | 0 | 2 | 0.541 | 0 | 1 | 0 | 1 | 0 | 1
cluster_12 | cluster_8 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1
cluster_12 | cluster_9 | 0 | 4 | 0.246 | 18 | 0 | 10 | 0.001 | 0 | 1
cluster_13 | cluster_1 | 0.6627714 | 21 | 0.138 | 7 | 0.601 | 20 | 0.008 | 0 | 1
cluster_13 | cluster_10 | 0 | 15 | 0.117 | 0 | 1 | 24 | 0 | 0 | 1
cluster_13 | cluster_11 | -0.1359796 | 24 | 0.151 | 15 | 0.02 | 33 | 0 | 0 | 1
cluster_13 | cluster_12 | 0 | 11 | 0.556 | 6 | 0.946 | 9 | 0.742 | 22 | 0
cluster_13 | cluster_13 | 1 | 78 | 0 | 8 | 0.148 | 44 | 0 | 1 | 0.977 | 1
cluster_13 | cluster_14 | 0 | 8 | 0.053 | 1 | 0.374 | 11 | 0 | 0 | 1
cluster_13 | cluster_15 | 0 | 11 | 0.129 | 2 | 0.392 | 11 | 0.05 | 36 | 0
cluster_13 | cluster_16 | 0 | 8 | 0.021 | 0 | 1 | 2 | 0.446 | 0 | 1
cluster_13 | cluster_17 | 0 | 10 | 0.205 | 2 | 0.519 | 20 | 0 | 1 | 0.773
cluster_13 | cluster_18 | 1.873876 | 6 | 0.045 | 2 | 0.161 | 6 | 0.005 | 0 | 1
cluster_13 | cluster_19 | 0 | 1 | 0.286 | 2 | 0.002 | 1 | 0.214 | 0 | 1
cluster_13 | cluster_2 | 0 | 6 | 0.87 | 1 | 1 | 5 | 0.749 | 0 | 1
cluster_13 | cluster_3 | 0 | 50 | 0.219 | 15 | 0.939 | 44 | 0.066 | 0 | 1
cluster_13 | cluster_4 | 0 | 43 | 0.03 | 14 | 0.587 | 45 | 0 | 0 | 1
cluster_13 | cluster_5 | 0 | 17 | 0.923 | 3 | 0.998 | 15 | 0.67 | 0 | 1
cluster_13 | cluster_6 | 0 | 5 | 0.751 | 1 | 0.897 | 16 | 0 | 0 | 1
cluster_13 | cluster_7 | 0 | 4 | 0.268 | 1 | 0.29 | 3 | 0.223 | 0 | 1
cluster_13 | cluster_8 | 0 | 2 | 0.476 | 0 | 1 | 1 | 0.536 | 0 | 1
cluster_13 | cluster_9 | 0 | 2 | 0.809 | 0 | 1 | 4 | 0.221 | 0 | 1
cluster_14 | cluster_1 | NA | 4 | 0.601 | 0 | 1 | 3 | 0.545 | 0 | 1
cluster_14 | cluster_10 | NA | 3 | 0.403 | 0 | 1 | 3 | 0.298 | 0 | 1
cluster_14 | cluster_11 | NA | 4 | 0.755 | 2 | 0.324 | 6 | 0.194 | 0 | 1
cluster_14 | cluster_12 | NA | 0 | 1 | 0 | 1 | 3 | 0.542 | 4 | 0.092
cluster_14 | cluster_13 | NA | 8 | 0.053 | 1 | 0.374 | 11 | 0 | 0 | 1
cluster_14 | cluster_14 | 1 | 24 | 0 | 0 | 1 | 2 | 0.143 | 0 | 1 | 1
cluster_14 | cluster_15 | NA | 4 | 0.118 | 0 | 1 | 3 | 0.217 | 11 | 0
cluster_14 | cluster_16 | NA | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1
cluster_14 | cluster_17 | NA | 2 | 0.453 | 0 | 1 | 6 | 0.018 | 0 | 1
cluster_14 | cluster_18 | NA | 1 | 0.276 | 1 | 0.034 | 2 | 0.042 | 0 | 1
cluster_14 | cluster_19 | NA | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 1
cluster_14 | cluster_2 | NA | 2 | 0.557 | 0 | 1 | 1 | 0.713 | 0 | 1
cluster_14 | cluster_3 | NA | 9 | 0.861 | 1 | 0.959 | 9 | 0.749 | 0 | 1
cluster_14 | cluster_4 | NA | 5 | 0.922 | 1 | 0.853 | 8 | 0.506 | 0 | 1
cluster_14 | cluster_5 | NA | 5 | 0.739 | 0 | 1 | 10 | 0.05 | 0 | 1
cluster_14 | cluster_6 | NA | 1 | 0.657 | 0 | 1 | 2 | 0.404 | 0 | 1
cluster_14 | cluster_7 | NA | 5 | 0 | 2 | 0.006 | 1 | 0.182 | 0 | 1
cluster_14 | cluster_8 | NA | 1 | 0.166 | 0 | 1 | 1 | 0.12 | 0 | 1
cluster_14 | cluster_9 | NA | 4 | 0.006 | 0 | 1 | 1 | 0.284 | 0 | 1
cluster_15 | cluster_1 | -0.291086 | 12 | 0.168 | 9 | 0.002 | 4 | 0.848 | 0 | 1
cluster_15 | cluster_10 | 0 | 7 | 0.268 | 1 | 0.461 | 5 | 0.369 | 0 | 1
cluster_15 | cluster_11 | 0 | 19 | 0.012 | 14 | 0 | 12 | 0.122 | 0 | 1
cluster_15 | cluster_12 | 0 | 6 | 0.479 | 11 | 0.003 | 5 | 0.74 | 7 | 0.036
cluster_15 | cluster_13 | 0 | 11 | 0.129 | 2 | 0.392 | 11 | 0.05 | 0 | 1
cluster_15 | cluster_14 | 0 | 4 | 0.118 | 0 | 1 | 3 | 0.217 | 0 | 1
cluster_15 | cluster_15 | 1 | 58 | 0 | 20 | 0 | 24 | 0 | 20 | 0 | 1
cluster_15 | cluster_16 | 0 | 4 | 0.064 | 0 | 1 | 2 | 0.208 | 0 | 1
cluster_15 | cluster_17 | 0 | 5 | 0.283 | 3 | 0.03 | 3 | 0.755 | 0 | 1
cluster_15 | cluster_18 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1
cluster_15 | cluster_19 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1
cluster_15 | cluster_2 | 0 | 3 | 0.768 | 16 | 0 | 8 | 0.041 | 0 | 1
cluster_15 | cluster_3 | 0 | 33 | 0.043 | 18 | 0.004 | 19 | 0.715 | 2 | 0.991
cluster_15 | cluster_4 | 0 | 24 | 0.049 | 18 | 0 | 21 | 0.098 | 0 | 1
cluster_15 | cluster_5 | 0 | 14 | 0.34 | 15 | 0 | 12 | 0.34 | 0 | 1
cluster_15 | cluster_6 | 0 | 5 | 0.206 | 2 | 0.221 | 7 | 0.057 | 0 | 1
cluster_15 | cluster_7 | 2.879289 | 2 | 0.328 | 0 | 1 | 0 | 1 | 0 | 1
cluster_15 | cluster_8 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1
cluster_15 | cluster_9 | 0 | 2 | 0.417 | 1 | 0.285 | 5 | 0.012 | 0 | 1
cluster_16 | cluster_1 | -0.1310201 | 3 | 0.639 | 0 | 1 | 3 | 0.204 | 0 | 1
cluster_16 | cluster_10 | 0 | 2 | 0.578 | 0 | 1 | 1 | 0.513 | 0 | 1
cluster_16 | cluster_11 | 0.2390335 | 3 | 0.738 | 4 | 0.049 | 1 | 0.812 | 0 | 1
cluster_16 | cluster_12 | 0 | 7 | 0.013 | 1 | 0.735 | 1 | 0.713 | 1 | 0.456
cluster_16 | cluster_13 | 0 | 8 | 0.021 | 0 | 1 | 2 | 0.446 | 2 | 0.156
cluster_16 | cluster_14 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1
cluster_16 | cluster_15 | 0 | 4 | 0.064 | 0 | 1 | 2 | 0.208 | 8 | 0
cluster_16 | cluster_16 | 1 | 20 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 1
cluster_16 | cluster_17 | 0 | 1 | 0.614 | 0 | 1 | 2 | 0.255 | 2 | 0.022
cluster_16 | cluster_18 | 0 | 0 | 1 | 2 | 0.004 | 0 | 1 | 0 | 1
cluster_16 | cluster_19 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1
cluster_16 | cluster_2 | 0 | 2 | 0.488 | 0 | 1 | 3 | 0.087 | 0 | 1
cluster_16 | cluster_3 | 0 | 11 | 0.504 | 0 | 1 | 4 | 0.88 | 0 | 1
cluster_16 | cluster_4 | 0 | 4 | 0.904 | 3 | 0.483 | 4 | 0.676 | 0 | 1
cluster_16 | cluster_5 | 0 | 5 | 0.606 | 0 | 1 | 3 | 0.513 | 0 | 1
cluster_16 | cluster_6 | 0 | 2 | 0.329 | 0 | 1 | 2 | 0.189 | 0 | 1
cluster_16 | cluster_7 | 0 | 2 | 0.055 | 0 | 1 | 1 | 0.072 | 0 | 1
cluster_16 | cluster_8 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1
cluster_16 | cluster_9 | 0 | 2 | 0.103 | 0 | 1 | 1 | 0.154 | 0 | 1
cluster_17 | cluster_1 | 0 | 8 | 0.559 | 2 | 0.788 | 7 | 0.543 | 0 | 1
cluster_17 | cluster_10 | 0 | 5 | 0.568 | 2 | 0.291 | 6 | 0.358 | 0 | 1
cluster_17 | cluster_11 | 0 | 10 | 0.509 | 4 | 0.429 | 13 | 0.137 | 0 | 1
cluster_17 | cluster_12 | 0 | 1 | 0.992 | 2 | 0.928 | 2 | 0.988 | 9 | 0.008
cluster_17 | cluster_13 | 0 | 10 | 0.205 | 2 | 0.519 | 20 | 0 | 1 | 0.857
cluster_17 | cluster_14 | 0 | 2 | 0.453 | 0 | 1 | 6 | 0.018 | 0 | 1
cluster_17 | cluster_15 | 0 | 5 | 0.283 | 3 | 0.03 | 3 | 0.755 | 16 | 0
cluster_17 | cluster_16 | 0 | 1 | 0.614 | 0 | 1 | 2 | 0.255 | 0 | 1
cluster_17 | cluster_17 | 1 | 30 | 0 | 4 | 0.029 | 22 | 0 | 1 | 0.471 | 1
cluster_17 | cluster_18 | 0 | 3 | 0.119 | 1 | 0.148 | 3 | 0.061 | 0 | 1
cluster_17 | cluster_19 | 1.082069 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1
cluster_17 | cluster_2 | 0 | 3 | 0.79 | 1 | 0.955 | 3 | 0.765 | 0 | 1
cluster_17 | cluster_3 | 0 | 26 | 0.335 | 11 | 0.445 | 24 | 0.523 | 0 | 1
cluster_17 | cluster_4 | 0.1035866 | 17 | 0.515 | 5 | 0.788 | 17 | 0.569 | 0 | 1
cluster_17 | cluster_5 | 0 | 19 | 0.058 | 4 | 0.612 | 15 | 0.209 | 0 | 1
cluster_17 | cluster_6 | 0 | 7 | 0.07 | 3 | 0.13 | 12 | 0 | 0 | 1
cluster_17 | cluster_7 | 0 | 2 | 0.282 | 1 | 0.071 | 4 | 0.023 | 0 | 1
cluster_17 | cluster_8 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1
cluster_17 | cluster_9 | 0 | 0 | 1 | 0 | 1 | 2 | 0.388 | 0 | 1
cluster_18 | cluster_1 | NA | 5 | 0.168 | 6 | 0.001 | 5 | 0.021 | 0 | 1
cluster_18 | cluster_10 | NA | 3 | 0.228 | 0 | 1 | 1 | 0.424 | 0 | 1
cluster_18 | cluster_11 | NA | 5 | 0.245 | 10 | 0 | 3 | 0.224 | 0 | 1
cluster_18 | cluster_12 | NA | 1 | 0.722 | 0 | 1 | 0 | 1 | 1 | 0.334
cluster_18 | cluster_13 | NA | 6 | 0.045 | 2 | 0.161 | 6 | 0.005 | 0 | 1
cluster_18 | cluster_14 | NA | 1 | 0.276 | 1 | 0.034 | 2 | 0.042 | 0 | 1
cluster_18 | cluster_15 | NA | 0 | 1 | 0 | 1 | 0 | 1 | 3 | 0.001
cluster_18 | cluster_16 | NA | 0 | 1 | 2 | 0.004 | 0 | 1 | 0 | 1
cluster_18 | cluster_17 | NA | 3 | 0.119 | 1 | 0.148 | 3 | 0.061 | 0 | 1
cluster_18 | cluster_18 | 1 | 6 | 0.002 | 6 | 0 | 0 | 1 | 0 | 1 | 1
cluster_18 | cluster_19 | NA | 1 | 0.023 | 4 | 0 | 1 | 0.011 | 0 | 1
cluster_18 | cluster_2 | NA | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1
cluster_18 | cluster_3 | NA | 4 | 0.959 | 3 | 0.752 | 8 | 0.183 | 0 | 1
cluster_18 | cluster_4 | NA | 4 | 0.803 | 2 | 0.694 | 3 | 0.686 | 0 | 1
cluster_18 | cluster_5 | NA | 2 | 0.886 | 1 | 0.713 | 2 | 0.616 | 0 | 1
cluster_18 | cluster_6 | NA | 1 | 0.505 | 0 | 1 | 2 | 0.122 | 0 | 1
cluster_18 | cluster_7 | NA | 1 | 0.163 | 0 | 1 | 0 | 1 | 0 | 1
cluster_18 | cluster_8 | NA | 0 | 1 | 1 | 0.026 | 0 | 1 | 0 | 1
cluster_18 | cluster_9 | NA | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1
cluster_19 | cluster_1 | NA | 0 | 1 | 2 | 0.003 | 0 | 1 | 0 | 1
cluster_19 | cluster_10 | NA | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1
cluster_19 | cluster_11 | NA | 1 | 0.428 | 0 | 1 | 1 | 0.292 | 0 | 1
cluster_19 | cluster_12 | NA | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0.135
cluster_19 | cluster_13 | NA | 1 | 0.286 | 2 | 0.002 | 1 | 0.214 | 0 | 1
cluster_19 | cluster_14 | NA | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 1
cluster_19 | cluster_15 | NA | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1
cluster_19 | cluster_16 | NA | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1
cluster_19 | cluster_17 | NA | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1
cluster_19 | cluster_18 | NA | 1 | 0.023 | 4 | 0 | 1 | 0.011 | 0 | 1
cluster_19 | cluster_19 | 1 | 2 | 0 | 2 | 0 | 0 | 1 | 0 | 1 | 1
cluster_19 | cluster_2 | NA | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1
cluster_19 | cluster_3 | NA | 0 | 1 | 1 | 0.278 | 0 | 1 | 0 | 1
cluster_19 | cluster_4 | NA | 4 | 0.088 | 2 | 0.025 | 3 | 0.137 | 0 | 1
cluster_19 | cluster_5 | NA | 0 | 1 | 1 | 0.086 | 0 | 1 | 0 | 1
cluster_19 | cluster_6 | NA | 1 | 0.097 | 0 | 1 | 1 | 0.11 | 0 | 1
cluster_19 | cluster_7 | NA | 1 | 0.033 | 0 | 1 | 0 | 1 | 0 | 1
cluster_19 | cluster_8 | NA | 1 | 0.013 | 1 | 0.003 | 0 | 1 | 0 | 1
cluster_19 | cluster_9 | NA | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1
cluster_2 | cluster_1 | NA | 2 | 1 | 21 | 0.039 | 5 | 0.729 | 0 | 1
cluster_2 | cluster_10 | NA | 3 | 0.929 | 2 | 0.962 | 9 | 0.044 | 0 | 1
cluster_2 | cluster_11 | NA | 9 | 0.841 | 14 | 0.529 | 10 | 0.278 | 0 | 1
cluster_2 | cluster_12 | NA | 3 | 0.962 | 76 | 0 | 17 | 0.003 | 9 | 0.008
cluster_2 | cluster_13 | NA | 6 | 0.87 | 1 | 1 | 5 | 0.749 | 0 | 1
cluster_2 | cluster_14 | NA | 2 | 0.557 | 0 | 1 | 1 | 0.713 | 0 | 1
cluster_2 | cluster_15 | NA | 3 | 0.768 | 16 | 0 | 8 | 0.041 | 33 | 0
cluster_2 | cluster_16 | NA | 2 | 0.488 | 0 | 1 | 3 | 0.087 | 0 | 1
cluster_2 | cluster_17 | NA | 3 | 0.79 | 1 | 0.955 | 3 | 0.765 | 0 | 1
cluster_2 | cluster_18 | NA | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1
cluster_2 | cluster_19 | NA | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1
cluster_2 | cluster_2 | 1 | 44 | 0 | 66 | 0 | 20 | 0.001 | 0 | 1 | 1
cluster_2 | cluster_3 | NA | 13 | 1 | 76 | 0 | 16 | 0.92 | 2 | 0.994
cluster_2 | cluster_4 | NA | 6 | 0.999 | 61 | 0 | 9 | 0.969 | 0 | 1
cluster_2 | cluster_5 | NA | 7 | 0.992 | 22 | 0.184 | 5 | 0.971 | 0 | 1
cluster_2 | cluster_6 | NA | 1 | 0.968 | 2 | 0.966 | 2 | 0.805 | 0 | 1
cluster_2 | cluster_7 | NA | 2 | 0.421 | 0 | 1 | 0 | 1 | 0 | 1
cluster_2 | cluster_8 | NA | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1
cluster_2 | cluster_9 | NA | 2 | 0.541 | 8 | 0.035 | 6 | 0.003 | 0 | 1
cluster_3 | cluster_1 | 0 | 52 | 0.413 | 26 | 0.908 | 40 | 0.201 | 0 | 1
cluster_3 | cluster_10 | 1.401826 | 61 | 0 | 14 | 0.583 | 38 | 0.004 | 0 | 1
cluster_3 | cluster_11 | 0 | 56 | 0.683 | 39 | 0.22 | 36 | 0.845 | 0 | 1
cluster_3 | cluster_12 | -0.113349 | 31 | 0.825 | 89 | 0 | 23 | 0.996 | 32 | 0.016
cluster_3 | cluster_13 | 0 | 50 | 0.219 | 15 | 0.939 | 44 | 0.066 | 1 | 1
cluster_3 | cluster_14 | 0 | 9 | 0.861 | 1 | 0.959 | 9 | 0.749 | 0 | 1
cluster_3 | cluster_15 | 0 | 33 | 0.043 | 18 | 0.004 | 19 | 0.715 | 113 | 0
cluster_3 | cluster_16 | 0 | 11 | 0.504 | 0 | 1 | 4 | 0.88 | 0 | 1
cluster_3 | cluster_17 | 0.4893876 | 26 | 0.335 | 11 | 0.445 | 24 | 0.523 | 1 | 0.997
cluster_3 | cluster_18 | 0 | 4 | 0.959 | 3 | 0.752 | 8 | 0.183 | 0 | 1
cluster_3 | cluster_19 | 0 | 0 | 1 | 1 | 0.278 | 0 | 1 | 0 | 1
cluster_3 | cluster_2 | 0 | 13 | 1 | 76 | 0 | 16 | 0.92 | 0 | 1
cluster_3 | cluster_3 | 1 | 342 | 0 | 192 | 0 | 120 | 0.204 | 4 | 1 | 1
cluster_3 | cluster_4 | 0.1151121 | 107 | 0.134 | 102 | 0 | 81 | 0.468 | 0 | 1
cluster_3 | cluster_5 | 0.1878211 | 58 | 0.965 | 66 | 0.001 | 43 | 0.96 | 0 | 1
cluster_3 | cluster_6 | 0 | 14 | 0.968 | 14 | 0.557 | 14 | 0.934 | 0 | 1
cluster_3 | cluster_7 | 0 | 6 | 0.873 | 2 | 0.768 | 4 | 0.812 | 0 | 1
cluster_3 | cluster_8 | 0.3520479 | 9 | 0.252 | 2 | 0.758 | 6 | 0.337 | 0 | 1
cluster_3 | cluster_9 | -0.2970573 | 7 | 0.945 | 9 | 0.594 | 8 | 0.628 | 0 | 1
cluster_4 | cluster_1 | 0 | 33 | 0.674 | 18 | 0.809 | 17 | 0.961 | 0 | 1
cluster_4 | cluster_10 | 0 | 21 | 0.714 | 5 | 0.954 | 18 | 0.472 | 0 | 1
cluster_4 | cluster_11 | 0 | 27 | 0.994 | 38 | 0.002 | 32 | 0.418 | 0 | 1
cluster_4 | cluster_12 | 0 | 19 | 0.916 | 110 | 0 | 21 | 0.848 | 33 | 0
cluster_4 | cluster_13 | 0.3320919 | 43 | 0.03 | 14 | 0.587 | 45 | 0 | 4 | 0.998
cluster_4 | cluster_14 | 0 | 5 | 0.922 | 1 | 0.853 | 8 | 0.506 | 0 | 1
cluster_4 | cluster_15 | 0 | 24 | 0.049 | 18 | 0 | 21 | 0.098 | 85 | 0
cluster_4 | cluster_16 | 0 | 4 | 0.904 | 3 | 0.483 | 4 | 0.676 | 0 | 1
cluster_4 | cluster_17 | 0.4569576 | 17 | 0.515 | 5 | 0.788 | 17 | 0.569 | 4 | 0.788
cluster_4 | cluster_18 | 0 | 4 | 0.803 | 2 | 0.694 | 3 | 0.686 | 0 | 1
cluster_4 | cluster_19 | 0 | 4 | 0.088 | 2 | 0.025 | 3 | 0.137 | 0 | 1
cluster_4 | cluster_2 | 0 | 6 | 0.999 | 61 | 0 | 9 | 0.969 | 0 | 1
cluster_4 | cluster_3 | 0 | 107 | 0.134 | 102 | 0 | 81 | 0.468 | 3 | 1
cluster_4 | cluster_4 | 1 | 174 | 0 | 116 | 0 | 52 | 0.717 | 0 | 1 | 1
cluster_4 | cluster_5 | 0 | 40 | 0.961 | 31 | 0.31 | 31 | 0.93 | 0 | 1
cluster_4 | cluster_6 | 0 | 12 | 0.818 | 8 | 0.715 | 13 | 0.663 | 0 | 1
cluster_4 | cluster_7 | 0 | 4 | 0.86 | 2 | 0.525 | 4 | 0.608 | 0 | 1
cluster_4 | cluster_8 | 0.7116635 | 1 | 0.964 | 3 | 0.269 | 0 | 1 | 0 | 1
cluster_4 | cluster_9 | 0 | 6 | 0.819 | 16 | 0.004 | 7 | 0.444 | 0 | 1
cluster_5 | cluster_1 | 0 | 18 | 0.966 | 10 | 0.916 | 11 | 0.945 | 0 | 1
cluster_5 | cluster_10 | 0 | 22 | 0.166 | 4 | 0.858 | 17 | 0.089 | 0 | 1
cluster_5 | cluster_11 | 0 | 20 | 0.985 | 16 | 0.46 | 16 | 0.862 | 0 | 1
cluster_5 | cluster_12 | 0 | 9 | 0.997 | 15 | 0.936 | 15 | 0.733 | 22 | 0.015
cluster_5 | cluster_13 | 0.3280271 | 17 | 0.923 | 3 | 0.998 | 15 | 0.67 | 1 | 1
cluster_5 | cluster_14 | 0.3249519 | 5 | 0.739 | 0 | 1 | 10 | 0.05 | 0 | 1
cluster_5 | cluster_15 | 0 | 14 | 0.34 | 15 | 0 | 12 | 0.34 | 46 | 0
cluster_5 | cluster_16 | 0 | 5 | 0.606 | 0 | 1 | 3 | 0.513 | 0 | 1
cluster_5 | cluster_17 | 0 | 19 | 0.058 | 4 | 0.612 | 15 | 0.209 | 1 | 0.961
cluster_5 | cluster_18 | -0.138821 | 2 | 0.886 | 1 | 0.713 | 2 | 0.616 | 0 | 1
cluster_5 | cluster_19 | 0.4123996 | 0 | 1 | 1 | 0.086 | 0 | 1 | 0 | 1
cluster_5 | cluster_2 | 0 | 7 | 0.992 | 22 | 0.184 | 5 | 0.971 | 0 | 1
cluster_5 | cluster_3 | 0 | 58 | 0.965 | 66 | 0.001 | 43 | 0.96 | 1 | 1
cluster_5 | cluster_4 | 0 | 40 | 0.961 | 31 | 0.31 | 31 | 0.93 | 0 | 1
cluster_5 | cluster_5 | 1 | 112 | 0 | 30 | 0.06 | 28 | 0.415 | 0 | 1 | 1
cluster_5 | cluster_6 | 0.2984492 | 5 | 0.99 | 5 | 0.754 | 11 | 0.364 | 0 | 1
cluster_5 | cluster_7 | 0 | 4 | 0.645 | 0 | 1 | 2 | 0.667 | 0 | 1
cluster_5 | cluster_8 | 0.3170284 | 2 | 0.778 | 0 | 1 | 0 | 1 | 0 | 1
cluster_5 | cluster_9 | -0.1038384 | 3 | 0.906 | 0 | 1 | 1 | 0.946 | 0 | 1
cluster_6 | cluster_1 | 0 | 4 | 0.923 | 0 | 1 | 4 | 0.807 | 0 | 1
cluster_6 | cluster_10 | 0 | 8 | 0.113 | 0 | 1 | 10 | 0.014 | 0 | 1
cluster_6 | cluster_11 | 0 | 13 | 0.114 | 2 | 0.945 | 10 | 0.185 | 0 | 1
cluster_6 | cluster_12 | 0 | 2 | 0.953 | 1 | 1 | 4 | 0.814 | 6 | 0.291
cluster_6 | cluster_13 | 0 | 5 | 0.751 | 1 | 0.897 | 16 | 0 | 2 | 0.801
cluster_6 | cluster_14 | 0 | 1 | 0.657 | 0 | 1 | 2 | 0.404 | 0 | 1
cluster_6 | cluster_15 | 0 | 5 | 0.206 | 2 | 0.221 | 7 | 0.057 | 23 | 0
cluster_6 | cluster_16 | 0 | 2 | 0.329 | 0 | 1 | 2 | 0.189 | 0 | 1
cluster_6 | cluster_17 | 0.6840219 | 7 | 0.07 | 3 | 0.13 | 12 | 0 | 2 | 0.331
cluster_6 | cluster_18 | 0 | 1 | 0.505 | 0 | 1 | 2 | 0.122 | 0 | 1
cluster_6 | cluster_19 | 0 | 1 | 0.097 | 0 | 1 | 1 | 0.11 | 0 | 1
cluster_6 | cluster_2 | 0 | 1 | 0.968 | 2 | 0.966 | 2 | 0.805 | 0 | 1
cluster_6 | cluster_3 | 0 | 14 | 0.968 | 14 | 0.557 | 14 | 0.934 | 0 | 1
cluster_6 | cluster_4 | 0 | 12 | 0.818 | 8 | 0.715 | 13 | 0.663 | 0 | 1
cluster_6 | cluster_5 | 0.3201265 | 5 | 0.99 | 5 | 0.754 | 11 | 0.364 | 0 | 1
cluster_6 | cluster_6 | 1 | 22 | 0 | 4 | 0.133 | 6 | 0.129 | 0 | 1 | 1
cluster_6 | cluster_7 | 0 | 2 | 0.253 | 1 | 0.151 | 0 | 1 | 0 | 1
cluster_6 | cluster_8 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1
cluster_6 | cluster_9 | 0 | 1 | 0.66 | 0 | 1 | 0 | 1 | 0 | 1
cluster_7 | cluster_1 | 0 | 2 | 0.751 | 1 | 0.442 | 1 | 0.651 | 0 | 1
cluster_7 | cluster_10 | 0 | 3 | 0.25 | 0 | 1 | 2 | 0.212 | 0 | 1
cluster_7 | cluster_11 | 0 | 0 | 1 | 5 | 0.004 | 1 | 0.758 | 0 | 1
cluster_7 | cluster_12 | 0 | 2 | 0.541 | 0 | 1 | 0 | 1 | 2 | 0.073
cluster_7 | cluster_13 | 0 | 4 | 0.268 | 1 | 0.29 | 3 | 0.223 | 0 | 1
cluster_7 | cluster_14 | 0 | 5 | 0 | 2 | 0.006 | 1 | 0.182 | 0 | 1
cluster_7 | cluster_15 | 0.2036389 | 2 | 0.328 | 0 | 1 | 0 | 1 | 4 | 0
cluster_7 | cluster_16 | 0 | 2 | 0.055 | 0 | 1 | 1 | 0.072 | 0 | 1
cluster_7 | cluster_17 | 0 | 2 | 0.282 | 1 | 0.071 | 4 | 0.023 | 0 | 1
cluster_7 | cluster_18 | 0 | 1 | 0.163 | 0 | 1 | 0 | 1 | 0 | 1
cluster_7 | cluster_19 | 0 | 1 | 0.033 | 0 | 1 | 0 | 1 | 0 | 1
cluster_7 | cluster_2 | 0 | 2 | 0.421 | 0 | 1 | 0 | 1 | 0 | 1
cluster_7 | cluster_3 | 0 | 6 | 0.873 | 2 | 0.768 | 4 | 0.812 | 0 | 1
cluster_7 | cluster_4 | 0 | 4 | 0.86 | 2 | 0.525 | 4 | 0.608 | 0 | 1
cluster_7 | cluster_5 | 0 | 4 | 0.645 | 0 | 1 | 2 | 0.667 | 0 | 1
cluster_7 | cluster_6 | 0 | 2 | 0.253 | 1 | 0.151 | 0 | 1 | 0 | 1
cluster_7 | cluster_7 | 1 | 14 | 0 | 4 | 0 | 0 | 1 | 0 | 1 | 1
cluster_7 | cluster_8 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1
cluster_7 | cluster_9 | 0 | 1 | 0.257 | 0 | 1 | 0 | 1 | 0 | 1
cluster_8 | cluster_1 | 0 | 1 | 0.785 | 0 | 1 | 1 | 0.529 | 0 | 1
cluster_8 | cluster_10 | 0 | 2 | 0.336 | 0 | 1 | 0 | 1 | 0 | 1
cluster_8 | cluster_11 | 0 | 2 | 0.637 | 1 | 0.471 | 0 | 1 | 0 | 1
cluster_8 | cluster_12 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 2 | 0.063
cluster_8 | cluster_13 | 0 | 2 | 0.476 | 0 | 1 | 1 | 0.536 | 0 | 1
cluster_8 | cluster_14 | 0 | 1 | 0.166 | 0 | 1 | 1 | 0.12 | 0 | 1
cluster_8 | cluster_15 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0.04
cluster_8 | cluster_16 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1
cluster_8 | cluster_17 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1
cluster_8 | cluster_18 | 0 | 0 | 1 | 1 | 0.026 | 0 | 1 | 0 | 1
cluster_8 | cluster_19 | 0 | 1 | 0.013 | 1 | 0.003 | 0 | 1 | 0 | 1
cluster_8 | cluster_2 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1
cluster_8 | cluster_3 | 0 | 9 | 0.252 | 2 | 0.758 | 6 | 0.337 | 0 | 1
cluster_8 | cluster_4 | 0 | 1 | 0.964 | 3 | 0.269 | 0 | 1 | 0 | 1
cluster_8 | cluster_5 | 0 | 2 | 0.778 | 0 | 1 | 0 | 1 | 0 | 1
cluster_8 | cluster_6 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1
cluster_8 | cluster_7 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1
cluster_8 | cluster_8 | 1 | 8 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 1
cluster_8 | cluster_9 | -0.1145993 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1
cluster_9 | cluster_1 | 0 | 1 | 0.964 | 2 | 0.744 | 2 | 0.571 | 0 | 1
cluster_9 | cluster_10 | 0 | 2 | 0.615 | 0 | 1 | 4 | 0.073 | 0 | 1
cluster_9 | cluster_11 | 0 | 4 | 0.68 | 2 | 0.754 | 6 | 0.081 | 0 | 1
cluster_9 | cluster_12 | 0 | 4 | 0.246 | 18 | 0 | 10 | 0.001 | 1 | 0.618
cluster_9 | cluster_13 | 0 | 2 | 0.809 | 0 | 1 | 4 | 0.221 | 0 | 1
cluster_9 | cluster_14 | 0 | 4 | 0.006 | 0 | 1 | 1 | 0.284 | 0 | 1
cluster_9 | cluster_15 | 0 | 2 | 0.417 | 1 | 0.285 | 5 | 0.012 | 11 | 0
cluster_9 | cluster_16 | 0 | 2 | 0.103 | 0 | 1 | 1 | 0.154 | 0 | 1
cluster_9 | cluster_17 | 0 | 0 | 1 | 0 | 1 | 2 | 0.388 | 0 | 1
cluster_9 | cluster_18 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1
cluster_9 | cluster_19 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1
cluster_9 | cluster_2 | -0.1174324 | 2 | 0.541 | 8 | 0.035 | 6 | 0.003 | 0 | 1
cluster_9 | cluster_3 | 0 | 7 | 0.945 | 9 | 0.594 | 8 | 0.628 | 0 | 1
cluster_9 | cluster_4 | 0 | 6 | 0.819 | 16 | 0.004 | 7 | 0.444 | 0 | 1
cluster_9 | cluster_5 | 0 | 3 | 0.906 | 0 | 1 | 1 | 0.946 | 0 | 1
cluster_9 | cluster_6 | 0 | 1 | 0.66 | 0 | 1 | 0 | 1 | 0 | 1
cluster_9 | cluster_7 | 0 | 1 | 0.257 | 0 | 1 | 0 | 1 | 0 | 1
cluster_9 | cluster_8 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1
cluster_9 | cluster_9 | 1 | 16 | 0 | 10 | 0 | 2 | 0.073 | 0 | 1 | 1