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The index of spectral homogeneity is thus used to determine multiple appropriate scale parameters.
If significant differences existed, Tukey Kramer's HSD (Honest Significant Difference) pairwise comparison test was used to determine multiple comparisons.
The combination index (CI) method was used to determine multiple drug effect interaction using the computer software CalcuSyn (Biosoft, Cambridge, UK).
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Energy factors are used to determine the multiple parallel and disjoint routes.
A conservative Bonferroni correction was used to determine the multiple comparison cut-point (α = 0.0003, obtained from (0.05/180 SNPs) at which results were considered statistically significant.
Phylogenetic analysis is widely used to determine orthologs in multiple genomes.
The false discovery rate procedure (Curran-Everett, 2000) was used to determine whether the multiple pairwise comparisons remained significant.
For deacetylases, methyltransferases, demethylases, and bromodomain-containing proteins, the amino acid sequences of the corresponding domains were used to determine conservation by multiple sequence alignment.
One-way ANOVA was used to determine statical significance for multiple groups analysis.
Bonferroni correction was used to determine statistical significance for multiple comparisons.
A similar method was used to determine the threshold for multiple QTL mapping (MQM).
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