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The animals within the main cluster were all healthy.
The 46 healthy controls in the main cluster were distributed normally.
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In all models, the main cluster is an elliptically-shaped group of runs (2nd, or green cluster in Figure 2).
Substructure within each main cluster was detected by the same approach mentioned above using STRUCTURE version 2.3.
Similar to the clustering in the Pacific Northwest, in California, a main cluster was observed that showed some geographic substructure (i.e. geographically proximate populations tend to cluster more closely with each other).
Since the data were classified as regard to the geology, three main clusters were sought: (i) limestone, (ii) shale/mudstone/clay/loess, and (iii) acid-magmatic origin of honey samples.
Two main clusters were demonstrated with both glitazones and glitazars.
Non-random associations of disease status with the two main clusters were tested using two-tailed Fisher's exact test.
In their study, six main clusters were found, of which only the motor and visual clusters show some overlap with our combined motor/visual network (cluster d, Figure 1d).
These two main clusters were very robust and were not changed if the samples were re-ordered, or if the samples were clustered using alternative metrics such as Manhattan city-block, uncentered correlation, or Spearman Rank correlation.
In this case (data not shown) the analyses provided larger trees, where two main clusters were segregated from other branches: one corresponding to brain related samples (i.e. nervous system) including the two whole-brain samples; and another cluster corresponding to the hematologic related samples including the two whole-blood samples.
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