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Two "old" granules (i.e. the granules had resided in the soil for up to 39 days) were collected from the bulk soil by sieving and two "fresh" granules (i.e. the granules had been secreted within the last 24 hours) were collected from the depurate secreted by the same randomly selected earthworm.

If a gene is a target of multiple microRNAs, it is replaced by the same randomly chosen gene in every target set, so as to maintain the structure of the data.

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For each patient, 2 types of elastomeric chains (injection molded and die-cut stamped) made by the same company were randomly assigned to a different arch and arch side (split-mouth design).

Following acquisition of the discrimination, the authors tested rats with trials in which the discrminanda were partially masked by the same patterns of randomly generated, opaque circular blobs (the bubbles; see Fig. 9A).

We find that variants in the protein coding classes explained the most variance, over and above the variance explained by the same number of randomly chosen variants, for most of our traits.

This analysis was replicated 5 times, with significance determined as greater or less than the average of the proportion of variance explained by the same number of randomly selected intergenic SNP across five replicates +/− 2 times the standard error.

The proportion of variance explained by the SNPs in these pathways was compared to that explained by the same number of randomly chosen SNPs within 100 kb of a gene, i.e. the additional SNPs were chosen to be close to genes, plus the set of 4000 randomly chosen SNPs corresponding to each pathway.

The control ROCs, where GSPs were replaced by the same number of randomly selected genes, all appear to be straight diagonal lines from the start point of zero coverage and zero specificity to the end point of zero specificity and maximal coverage for a particular dataset (Fig. 4).

What is even more surprising is that the non-coding conserved class explains significantly less variance when compared with the variance explained by the same number of randomly chosen SNP for the traits fat, fat percent, protein, protein percent and milk (Table  5).

In addition, we performed separate MDS analyses on subsets of the matrix in which each geographic region was represented by the same number of individuals (randomly sampled without replacement).

This is accomplished by creating groups of participants who receive the same treatment randomly or by preference; comparison of these groups indicates the contribution of treatment preferences to attrition, adherence and outcomes.

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