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Importantly, the two main clusters correlated very strongly with luminal-A/B subtype status.
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We observed that the two main clusters were strongly correlated with luminal subtype status (Fisher test P < 10−10, Fig. 3), indicating that a proportion of the transcriptomic differences between these two main ER+ subtypes is driven by underlying differences in DNA methylation.
These clusters correlate well with distinct serotypes.
By juxtaposing representative conformers from the main clusters we could identify a better order parameter, that correlates strongly with H-bond patterns within the molecule.
We then extracted the metabolic values of the main hypermetabolic clusters and correlated them with cognitive scores that were expected to depend on these brain regions.
Similar to the previous grouping structure of the initial set of 34 samples, we obtained three main clusters defining the different pathological conditions HYS, MA, and SCO as the most variant genes correlate also here with the germ cell state.
The UPGMA cluster analysis revealed that the cultivars could be divided into two main clusters.
Most of the tweeters, however, belong to one of three main clusters.
Hierarchical cluster analysis detected two main clusters (Fig. 2).
The 22-gene set was divided into two main clusters.
Two main clusters were demonstrated with both glitazones and glitazars.
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