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Those sequence contaminations are a serious concern to the quality of the data used for downstream analysis, causing misassembly of sequence contigs and erroneous conclusions.
As many data points as possible were included in each analysis, causing the sample size to differ between outcome measures.
Also the contamination of some strains with mycoplasmas and the artificial clustering of infected strains could bring further noise to our analysis causing the decrease in bootstrap values.
Also, modules <5 kb were eliminated from the analysis, causing some boundaries (LCR7F in Fig. 2B) to appear uncovered by duplications.
However, a small number of measurements per patient reduces the effect of within-patient variability, as patients with better control have fewer observations with less variability and those with higher HbA1c and more frequent testing may weigh the analysis, causing false peaks of bad metabolic control.
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The lack of integrated information with sufficient detail for analysis causes inefficient operation in metallurgical complexes.
In recent years, as one of the most important characteristics of stochastic systems, the stability analysis caused much more attention [6 10].
In comparison with the effect on atomistic strain analysis caused by nearest neighbors, some lower order quantities, like bond angle and nonlinear interaction, are ignored in our derivation.
The failure of these important results of classical analysis caused most mathematicians of the day to shun intuitionistic, and even constructive mathematics.
The limitations of instrumentation and statistical analysis caused the early studies in MC to be eclipsed by the 'paper-and-pencil' psychometric tests started by Binet.
However, increasing fraction of RHAGBs and their connectivity, as confirmed by twinning-related domain and fractal analysis, cause more sensitization at interior of this specimen.
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