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A typical problem in genome-wide statistical analysis is the occurrence of many false positives (i.e., a functional prediction that is mistakenly found significant due to multiple testing).
As a limited number of such motifs have been identified, the potential exists for genome-wide statistical analysis and comparative genomics to reveal novel peptide signatures functioning in a C-terminal dependent manner.
To further clarify if the alterations observed in autosomal gene expression were specific to liver, and are thus more likely downstream effects of the differential expression detected for several X-linked genes in this tissue, we extended the genome-wide statistical analysis to the remainder of the tissues.
Packages such as vegan, 148 phyloseq, 149 and Bioconductor 150 provide multiple in-built functions and libraries for performing a wide range of statistical analysis required for metagenomic datasets.
The notion of NSD random variables has wide applications in multivariate statistical analysis and reliability theory.
Because of wide applications in multivariate statistical analysis and reliability theory, the notions of END random variables have attracted more and more attention recently.
To detect a selection signal during the domestication of the horse, we performed a comparative genome-wide FST and iHS statistical analysis based on the protein-coding genes of 14 Thoroughbreds and 6 Jeju ponies using 10-fold re-sequencing data.
These limitations often resulted in very wide confidence intervals, which limited statistical analysis and the conclusions that could be made.
The mean number of voxels in each bin (1 greyscale unit wide) was calculated along with statistical analysis of differences between the experimental groups.
Despite recent expansion of genome-wide association studies, methodologies for statistical analysis of the resulting data are still lagging behind.
NA sampling has wide applications such as in multivariate statistical analysis and reliability theory.
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