Table 3 Feature source distribution for MERGE models
From: Integration and comparison of different genomic data for outcome prediction in cancer
Algorithm | Dataset | Size | EXPR | MIRNA | CNA | MUT |
|---|---|---|---|---|---|---|
CPSO | BRCA | 10 | 6 | 0 | 3 | 1 |
LUAD | 9 | 6 | 0 | 3 | 0 | |
GBM | 10 | 2 | 2 | 1 | 5 | |
OV | 10 | 6 | 0 | 4 | 0 | |
Total | 39 | 51 % | 5 % | 28 % | 15 % | |
NFS | BRCA | 4 | 0 | 0 | 4 | 0 |
LUAD | 4 | 3 | 0 | 1 | 0 | |
GBM | 9 | 4 | 0 | 5 | 0 | |
OV | 9 | 4 | 0 | 4 | 1 | |
Total | 26 | 42 % | 0 % | 54 % | 4 % | |
LASSO | BRCA | 11 | 4 | 0 | 2 | 5 |
LUAD | 9 | 3 | 3 | 1 | 2 | |
GBM | 13 | 10 | 1 | 1 | 1 | |
OV | 10 | 10 | 0 | 0 | 0 | |
Total | 43 | 63 % | 9 % | 9 % | 19 % | |
Overall | 216 | 54 % | 6 % | 27 % | 14 % | |