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We evaluated significance by LGS scores reported by ANCESTRYMAP.
Using a Fisher's exact test, we evaluated significance of associations of each kinase inhibitor to each physiological system category, and then we plotted these data as a heatmap, clustering the data in an unsupervised, hierarchical manner using the computed p values.
We evaluated significance for each constructed network using the following equation, based on Fisher's exact test (Calvano et al. 2005): Here, N is the total number of molecules in Ingenuity's global network, which contains D total proteins encoded by differentially expressed genes.
We evaluated significance using the locus-specific P value, evaluated at a marker estimated to be near the middle of the well-established Hipp1 interval on distal Chr. 1 on a physical scale.
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Fisher's least significant difference (LSD) was used to evaluate significance in longitudinal data.
The Mann-Whitney U-test was employed to evaluate significance between two unpaired groups when the Kruskal-Wallis test showed a significant difference between the four groups.
Fisher's exact test was carried out to evaluate significance in contingency tables.
Plackett Burman statistical design was used to evaluate significance of variables.
To evaluate significance, the impact of NAPL entrapment on the conservative-tracer breakthrough curves was compared to simulated breakthrough curve variability for different realizations of the heterogeneous distribution.
To check for possible confounding by recent consumption, we added each food and supplement variable to the logistic regression models specified above and re-evaluated significance and effect size of the validated environmental factors.
A statistical t student test was performed to evaluate significance of differing DNA source used.
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