We divided the forty samples into two soldering parameter groups.
The UPGMA dendrogram generated by ISSR divided 36 samples into two clusters (Fig. 2a).
The detection of L CP is done by arranging the samples into two different formats of the CP length.
a A score plot of PC1 and PC2 indicating clustering of samples into two groups according to PC1.
Remember that the preprocessor considers the histogram and split the samples into two classes around each histogram peak.
The Principal Component Analysis shows a clear-cut separation of samples into two groups based on the storage period regardless of the sample origin.
The cluster analysis grouped runoff water samples into two clusters based on the similarity of runoff water quality characteristics of the total variance.
Therefore, we pooled the individual depleted serum samples into two samples, good vs. poor neurological recovery, and re-ran the protein separation with 2D gels.
Hierarchical clustering divided the samples into two groups (data not shown).
The resulting clustering pattern (Figure 1A) divided the samples into two main groups.
The clustering analysis clearly separates AE and normal healthy skin samples into two distinct branches.
