Distribution (h) | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
---|
% Diff. Genes | 0 | 100 | 100 | 100 | 100 | 100 | 100 | 0 | 0 | 0 |
% Diff. Metab. | 0 | 100 | 100 | 100 | 0 | 0 | 0 | 100 | 100 | 100 |
ρ
YY
, ρ
ZZ
| 0 | 0 |
r
1
|
r
1
| 0 |
r
1
|
r
1
| 0 |
r
1
|
r
1
|
ρ
YZ
| 0 | 0 | 0 |
r
2
| 0 | 0 |
r
2
| 0 | 0 |
r
2
|
- The data are generated from 10 multivariate distributions (see Equation 1) with the following correlation structures and differential patterns.Twenty genes and four metabolites are drawn from each distribution (h = 1,...,9). Background genes (n = 820) and metabolites (m = 164) are simulated to be non-differential and without correlation, see distribution h = 0. In this work we consider r1 ∈ (0.2, 0.6) and r2 ∈ (0.1, 0.25) provided that r1 >r2.