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FDR is based on a moderated t-test.
Differentially expressed genes were identified based on a moderated t test using MEV software package from TIGR [ 22].
In order to account for the small number of replicates, a t-test based on a moderated t-statistics (Smyth et al., 2005) was used.
To check the robustness of our analyses, we also calculated P-values based on a moderated t-test, as implemented in the Limma R package of Smyth (2004).
A second type was generated by identifying miRNAs that were differentially expressed between cell types based on a moderated t-test [ 46].
Based on a moderated and conservative correlation (r = 0.4, effect size) and using α = 0.05, β = 0.20, and power = 80%, approximately 37 subjects were needed for this study [ 23].
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To get the most information from our data, we decided to detect differentially expressed genes using tests based on variance modeling: the Limma for moderated F-tests based on a hierarchical Bayesian method [ 107] and the SMVar method for pairwise comparisons with moderated t-tests based on a structural model [ 31].
To further select for significantly differentially methylated CpG sites we used a false discovery (FDR) approach using limma moderated T-test, which is based on an empirical Bayes moderation approach [62].
The detectors were self-assembled, high efficiency, and designed in two configurations: (1) a conventional moderated-type neutron detector based on a large cylindrical He-3 proportional counter; and (2) an extended-range version with an embedded layer of lead in the moderator to increase the detector's sensitivity to high-energy neutrons.
Based on a sample of 141 new ventures and using latent moderated structural model (LMS), we find support for the proposed model.
To define CD- and UC-specific transcriptional signatures based on intestinal inflammation, we identified differentially expressed genes using LIMMA [ 24] (based on a cutoff of log2 FC >1.5 (up-regulated), FC < -1.5 (down-regulated) and adjusted P-value <0.05 (moderated t-test)) in all comparisons (Table 3).
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