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We performed cluster analysis of gene expression patterns using Cluster and Java TreeView software [ 39, 40].
Cluster analysis of globulins patterns revealed six basic groups.
Cluster analysis of prolamins patterns revealed four basic groups.
Then, a cluster analysis of the elements and a cluster analysis of the constructs were performed independently.
A cluster analysis of the part-worth utility scores revealed three clusters: packaging, quality and convenience.
Hierarchical cluster analysis of the measured telomere parameters identified three subgroups from our patient cohort.
The cluster analysis of the different tourist regions suggests the existence of three main stages.
Hierarchical cluster analysis of five specialization variables was used to identify three groups of inshore anglers.
Cluster analysis of 24 food-related lifestyle factors identified 5 consumer groups.
Then optimal nuclide groups were extracted using the cluster analysis of the above-mentioned factors.
In this study, we applied cluster analysis of multi-year soybean (Glycine max [L.] Merr).
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