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A non-parametric Mann-Whitney method was applied for independent sample comparison in Figure 4.
We used a typical number of arrays for a given sample comparison in a large scale screening experiment.
To isolate a subset of genes possibly related to the host incompatible reaction to the nematode invasion we initially adopted a lenient analysis of the pairwise sample comparison in terms of P-values and FDRs.
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Based on our sample comparisons in this study we were able to determine which feather β-keratins from which chicken genomic loci (GALGA, chromosomes) were being expressed in the dorsal and wing feathers during embryonic development.
We provide in addition AUC values for each individual gene and array probe for each of the pairwise sample comparisons in the test set (Additional file 14: Table S12) and the validation set (Additional file 15: Table S13).
Such a log rank test follows a χ2 distribution in the case of multiple-sample comparison; in the case of two-sample comparisons, it computes a Z score referred to a normal distribution.
Further, sensitive QC indicator and automated sample comparison function in the ForenSeq™ Universal Analysis Software are quite helpful, so that we can concentrate on questionable genotypes and avoid tedious and time-consuming labor to maximum the time spent in data analysis.
Mixed models (with patients fitted at random) were used for two-sample comparisons in the presence of repeated measurements.
One sample comparison is shown in Fig. 7(a).
The 96 × 96 sample comparisons resulted in a matrix with a highly branched dendogram (see Additional file 1).
The generation of SWIFT cluster templates and their use in sample comparisons are demonstrated in Tutorial 3 (see Supporting Information).
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CEO of Professional Science Editing for Scientists @ prosciediting.com