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We set cut off limits at p < 0.05 and absolute fold change ≥1.5.
Training set cut off years were chosen for each breed, using a number of criteria.
Multivariate analysis was then performed and variables considered were those which had a conservatively set cut off p-value of <0.3 on bivariate analysis.
Scale reliability is shown in Table 4. Cronbach's alpha exceeded the set cut off point of 0.70 for all scales (0.70 0.86), indicating good scale reliability.
You can work at your own pace, as long as you meet the quota or the set cut off point.
A p-value less than 0.05 was set as cut off for the statistical significance.
As a result, 6560 were identified as HR probe sets (cut-off: adjusted p-value = 0.001, log2FoldChange = 1).
Thirdly, we did not set any arbitrary cut off values.
The solvent cut off was set to 5 min.
The e-value cut off was set at 1e-5.
The E-value cut off was set to 10−6.
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