Table 9 |
||||
|
A summary of the results from the application of the iterative BMA algorithm to the DLBCL dataset, the partial non-overlapping breast cancer dataset (n = 234), and the full overlapping breast cancer dataset (n = 295). |
||||
|
Number of Genes |
Number of Models |
p-value |
chi-square |
|
|
|
||||
|
DLBCL |
25 |
3 |
1.389e-03 |
10.221 |
|
Breast Cancer n = 234 (15 genes) |
15 |
84 |
7.264e-05 |
15.714 |
|
Breast Cancer n = 295 (15 genes) |
15 |
84 |
3.382e-10 |
39.441 |
|
Breast Cancer n = 234 (5 genes) |
5 |
2 |
9.063e-06 |
19.699 |
|
Breast Cancer n = 295 (5 genes) |
5 |
2 |
1.143e-10 |
41.559 |
|
|
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|
Annest et al. BMC Bioinformatics 2009 10:72 doi:10.1186/1471-2105-10-72 |
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