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The rank transformation of the G-EAR data limited the possible merging of results and comparison of effect sizes: rank transformations rank the data smallest to largest and force each data point's rank value to a normal distribution with minimum value 0 and maximum value 1.
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Both R 2 and effect sizes ranked physical function and symptoms profile in the same order.
Of the remaining 13 articles (n = 600), two were randomised controlled trials [ 43, 63] ranked as LOE category 1, two were randomised trials ranked as category 2 [ 42, 59] and the remainder were smaller, randomised case control studies of varying sizes, ranked as LOE category 3 and 4. Follow-up period ranged 2 6 months, with most (n = 8) being 10 12 weeks.
Psychological distress was significantly associated with the experience of genetic discrimination P≤0.0001 for discrimination based on family history, and P=0.011 for discrimination based on genetic test results (because of the small sample sizes, ranks 1-3 and 4-5 were collapsed to represent low-moderate and high levels of distress respectively).
Table 1 Reduction of number of genes for different sample size in dataset Sample size Rank of the extracted basis (steps 1 and 2) Nb of genes with Kendall rank correlation (<0.5) (step 3) Number of final selected genes (step 5) 60 60 33 3 55 55 31 4 50 50 28 22 45 45 13 7 40 40 11 9.
Table 5 Reduction of number of genes for different sample size in dataset Sample size Rank of the extracted basis (steps 1 and 2) Nb of genes with Kendall rank correlation (<0.5) (step 3) Final selected genes (step 5) 80 26 5 75 75 31 3 70 70 34 10 60 60 34 10 50 50 2434 10 50 50 24 8. Table 6 presents the genes occurrences with their cross validation percentages.
The data were ranked according to size, the ranks were then normalized to sample size (rank number/total sample number) and the normalized rank was plotted on the vertical axis against fiber size on the horizontal axis.
Size rank profile of smRNA-Seq data.
Monte Carlo simulations support the accuracy of the approximations for practical ranges of sample size, rank of the design matrix, error degrees of freedom, and the amount of deviation from sphericity.
Initially, clusters should be discounted in a similar way to analysis in this study through investigation of the nature of the cluster (size, rank) followed by an epidemiological analysis.
Columns list the module label, module size, rank of the enrichment p-value for that particular module, the Bonferroni-corrected enrichment p-value (the correction is performed with respect to the number of GO terms), fraction of the module genes also in the GO term, GO ontology, and GO term name.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com