Exact(22)
Failure to find any relationship between annotation and the physiological differences observed between the different cluster types highlights that, as a predictor of the underlying physiology and metabolism, automated annotation shows clear discrepancies.
By contrast, tissue-specific differences identify functional specialisation of the different cluster root stages of P-starved plants.
Hence, the different cluster head is selected by dynamically changing the values of and.
The different cluster sizes influence the surface roughness of the films [38].
Next, the algorithm initializes a 3D matrix used to store the different cluster "id"s associated to the blocks.
The different cluster data are compared by using clustering analysis to verify the correlation between the factors influencing the convenience stores energy consumption characteristic.
Similar(38)
The different clusters displayed significant differences in mean ACPA levels, ACPA status and the presence of HLA-DRB1 SE alleles.
However, some differences were observed in the different clusters.
The different clusters corresponded to overall differences in expression patterns including expression values and specificity across tissues.
The different clustering might therefore reflect the geographic origin rather than the differences between species.
We also observed differences in RTSS localization preferences with respect to nearby genes for the different clusters.
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