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They work either with statistics about the membership of data points to clusters based on external knowledge or internal criteria (literature as in data variation), which both require high computational efforts.
Thirdly, the difference in the proliferation assay used may result in data variation.
Principal component analysis is a statistical method to find major patterns in data variation, which is increasingly used for the analysis of gene expression microarray data.
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Periodic change in historical data variation.
In un-sparsified data, variation in mean interactions across many genes may dominate over the heaviness of the tails.
Feature selections can obtain inconsistent results with similar prediction accuracies in the case of data variation.
In the GWAS data, variations in the genome on single nucleotides (so called SNPs) are known, but not the nucleotides in between.
They controlled for the usual factors, such as parental income and education, class sizes, and teacher salaries, and found that when they plugged in data on variations on air quality, it had a significant adverse effect on school performance.
The data variations in the material-related energy and emission rates were considered for sensitivity analysis.
During periods of magnetic storms in the recorded geomagnetic data, variations occur among frequency ranges.
Therefore, "data" variations in the outpatient and inpatient incidence rate of ±0.5 and ±0.06 % were analyzed.
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