Hello,
For the gage function, we have the set.size which is the length of the union between all the samples if the genes that are present for the map.
There is no check if for one genes there is all NA values for all the samples. So if there is 15 genes with values but 500 genes with NA values across all samples, the map will be skipped because region is too large.
Also, if there is a table like that for one map :
| |
Sample 1 |
Sample 2 |
| Gene 1 |
NA |
10 |
| Gene 2 |
NA |
0.2 |
| Gene 3 |
NA |
0.3 |
| Gene 4 |
NA |
0.4 |
| Gene 5 |
NA |
0.5 |
| Gene 6 |
NA |
0.6 |
| Gene 7 |
1.2 |
0.7 |
| Gene 8 |
0.8 |
0.4 |
| Gene 9 |
0.1 |
NA |
| Gene 10 |
0.2 |
NA |
| Gene 11 |
0.3 |
NA |
| Gene 12 |
9.3 |
NA |
This map will not be skipped, because there is 12 genes inside the map, even if there is not enough data for the test after. But if done individually (samples by samples), the map will be skipped if we remove the NA values from the vector.
Regards,
Arthur Péré
Hello,
For the gage function, we have the set.size which is the length of the union between all the samples if the genes that are present for the map.
There is no check if for one genes there is all NA values for all the samples. So if there is 15 genes with values but 500 genes with NA values across all samples, the map will be skipped because region is too large.
Also, if there is a table like that for one map :
This map will not be skipped, because there is 12 genes inside the map, even if there is not enough data for the test after. But if done individually (samples by samples), the map will be skipped if we remove the NA values from the vector.
Regards,
Arthur Péré