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The effects and interaction of cellulase and xylanase were estimated using a test of statistical significance (Additional file 2: Table S1).
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This variability can be estimated using a test-retest experiment by calculating the ratio between standard deviation and the mean of the two measurements [39].
Intra-rater reliability was estimated using a test-retest method.
Co-expression between neighboring genes was estimated using a t-test of the Pearson correlation coefficient.
Correlation was assessed using a χ² test and survival rates were estimated using a Kaplan Meier test.
The impacts of the low temperatures over different FC operation and start-up conditions are estimated using a specific test bench developed in-lab.
Significance of the correlation between genetic distance and effective geographic distance were estimated using a Mantel test in Arlequin v3.11 [37].
The number of total NTCs required depends on the success rate of the sample amplifications and can be estimated using a statistical test.
The probability of Type I Error, p, was estimated using a permutation test, and the null hypothesis was rejected if p<0.05.
To this purpose, confidence intervals on the modulation indices were estimated using a bootstrap test.
Variability is quantified using an entropy-based measure (H), and its significance is estimated using a permutation test (Section 2).
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