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Combining the results of the K means analysis with the sequence similarity analysis; we speculated that these four transcripts should be putative monoterpenol glucosyltransferases.
Least-square means analysis of the PASI indicated both regimens to be equivalent.
In the K-means analysis, the clustering variables were entered unstandardised.
For the K-means analysis, the number of clusters was arbitrarily set to 50 to match the number of modules identified by ICE.
Similar to the SUVR mean analysis, the wS2 approach can be performed on static PET scans and does not require long dynamic acquisitions.
The interviews were analyzed using manifest content analysis that means the analysis has focused on what the text said, i.e. visible and obvious content [ 44].
The mean analysis considers the stability of the algorithm and derives a bound for the step-size which would guarantee convergence.
That means the analysis based on s. 3(1) is the same whether the reproduction is made from the original work or from a copy.
Usually, as the result of a k-means clustering analysis, the means for each cluster on each dimension would be examined to assess how distinct k clusters are.
As for what all this means, the analysis by Emmons and Noeth underscores the importance of higher education in improving household status.
In a network model, this means the analysis of network nodes also from the viewpoint of indirect linkages and determination.
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