Table 5.
Comparison | R2X | R2Y | Q2 | pR2Y | pQ2 |
---|---|---|---|---|---|
Glyphosate vs. control | |||||
mRNA-seq | 0.22 | 0.94 | 0.21 | 0.15 | 0.07 |
Small RNA-seq | 0.39 | 0.99 | 0.52 | 0.13 | 0.002 |
Genome-wide methylation | 0.13 | 0.66 | 0.03 | 0.06 | 0.89 |
MON 52276 vs. control | |||||
mRNA-seq | 0.44 | 0.99 | 0.64 | 0.22 | 0.001 |
Small RNA-seq | 0.34 | 0.96 | 0.34 | 0.15 | 0.03 |
Genome-wide methylation | 0.12 | 0.66 | 0.008 | 0.72 | 0.99 |
OPLS-DA models were performed for each set of omics data. We show estimates of the total explained variation (R2X), variations between the different groups (R2Y), and the average prediction capability (Q2). We assessed the significance of our classification using permutation tests. New estimates of R2Y and Q2 values were calculated from this 1000 times permuted dataset (p-values pR2Y and pQ2 for permuted R2Y and Q2, respectively).