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The ICC-adjusted test statistic is generally recommended to effectively control the nominal level when there is constant or small variability of cluster sizes.
Of note that (at least) two sources of variability of cluster memberships need to be scrutinized as follows: variability due to the stochastic nature of the Monte Carlo clustering method and variability due to different parts of an MD trajectory being clustered.
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Here, we introduce the term "chromothripsis-like patterns" (CTLP) when referring to clustered genomic events, to accommodate both common labelling and presumed biological variability of clustered genomic copy number aberrations.
All statistical analyses were conducted using STATA/MP V.12.1 (StataCorp, College Station, Texas, USA) and multilevel models were fitted using STATA survey commands to adjust for the variability of clustering.
To answer this question, we shall quantify the variability of clusters for subsets, relate it to the result for the whole trajectory, and derive a "stiff kernel," that is, those atoms which do not (or very rarely) change clusters between subsets of the trajectory.
All these results are in agreement with the reported interindividual variability of DEF cluster b genes [ 20].
3) PA T6SS-3 Companalysisanalysis of PA T6SS-3 showed that there was no variability of this cluster between the different strains of P. ananatis.
The intra and inter session variability of the Cluster method is lower than that of the Traditional method especially for overweight and obese subjects.
The aim of this research was to carry out a detailed analysis of the genomic variability of a cluster of gene sequences putatively involved in resistance to pathogens (R-genes).
In addition, the larger number of strains allowed us to better estimate the variability of piRNA cluster expression and compare it with the variability of protein-coding gene expression.
Although we did not include biological replicates in our experiment, the main quantity of interest is the variability of piRNA cluster expression levels across strains, not the mean expression level for each strain.
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Justyna Jupowicz-Kozak
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