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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.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com