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Taking a close look at the results from Table 1, we note that the mixed training/testing on solo recordings using uniform windows or segmented notes reveal a high degree of agreement across both methods.
A considerable improvement in AUC was observed in models that included age across both methods for the stratified male only data.
Of the remaining 107 signals across both methods, 54 (50%) were detected by both methods, 33 (31%) only by HLMoriginal, and 20 (19%) only by HLMrefined.
Four significant (LOD > 2.0) and one highly significant (LOD > 3.0) QTL were detected on chromosomes 3, 10 and 11 using single QTL analysis across both methods.
According to MAE and RMSE, ordinary least squares and MM-estimates based on the model 2 specification have the best predictive performance across both methods of valuation.
Given the high concordance across both methods, we performed imputation using a 1000 Genomes variant set alone, without implementing a two panel imputation.
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We examined the usefulness of combining p-values both across methods and across adjacent markers, taking into account the observed correlation structure among these p-values.
The average measured methylation levels from both methods across technical replicates were then plotted out from each control across each CpG site for the mouse and rat methylation control sets.
While this is more than the 3 expected by chance, there was only one gene, FLNB (filamin B, beta), that was replicated by both methods across both populations.
Terms uncovered using only RECLU tended to have lower P-values than ones using both methods across the comparison.
The most consistent results across tissues, obtained by both methods, were those of two of the genes previously demonstrated to escape X inactivation, Eif2s3x and Utx, and for a new candidate gene (2610029G23Rik).
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