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Another issue potentially related to combining a select number of data sets from a given laboratory or set of laboratories is the effect on statistical significance levels.
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It uses critical values that are only available for the upper tail of the variance distribution, at selected numbers of data sets, selected numbers of replicates per set and only at two significance levels.
Each filter displays the number of data sets that would be selected if that filter is turned on, and the effects are interactive.
We select part of data set P from a large data set Q.
However, their comparison was evaluated on a relatively small number of selected data sets under relatively limited conditions.
The model's metaparameters were selected using a bagging process, repeating the model learning on a number of different data sets, each being a different random sample of the observed experiments, and a number of times on each data set.
A number of different data sets were used to prepare the selected criteria and for input into the evaluation model.
PDZK was selected as a known estrogen-regulated gene that has been identified within a number of clinical data sets [ 32, 33].
The selected methods were compared on a large number of simulated data sets, each, consistent with complex disease models, embedded with multiple sets of interacting SNPs, under different interaction models.
A growing number of public data sets are available and can be searched and selected for analysis in the „find" area.
In addition, cluster centers and number are selected by a certain strategy automatically, and uncertainty/boundary problem of data set is solved by designed weighted rough c-means.
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