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Independent experiments were combined using MM-ChIP v. 1.0.0 with a mappable genome size of 1910000000, band width of 200, model fold = 10,30 and a p-value cut-off for peak detection of 1e-05 [ 23].
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When multiple time course experiments are integrated, p-values from the individual experiments are combined using classical meta-analysis techniques.
Log2 SILAC ratios and intensities of 7635 human proteins detected in some or all of our experiments (Supplementary Table 4) were combined using machine learning, essentially as described (Ohta et al, 2010).
Ratio results from control vs. infected replicates were combined using the default ratio experiment builder.
His experiments showed that dolphins could understand hundreds of words, and how those words could be combined using grammatical rules.
All results obtained from at least three independent experiments were combined and analyzed using the Student's t test.
For statistical analysis, pEC50 and pA2 values from individual experiments were combined and determined using Student's t-tests or one-way analysis of variance (ANOVA) with post hoc Tukey's tests.
When data from multiple experiments were combined, statistical analysis was performed using the two-tailed unpaired t-test.
The changes were transformed into Z-value (Supporting Information Fig S2H) and the results from replicate experiments were combined to evaluate statistical significance using the rank product method (Materials and Methods Section).
Data from different experiments were combined to calculate the significance of the data using a t-test.
Consequently, the two experiments were combined for analysis.
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