Exact(1)
Adopting ( p_k_{1} = 1 ), ( p_k_{2} = 1 ), ( p_k_{3} = 2 ), the different clustered extended DSM can be obtained: Open image in new window.
Similar(59)
It should be noted however, that all differences seen between the different clusters are modest in magnitude, and would not withstand correction for multiple testing.
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.
By contrast, tissue-specific differences identify functional specialisation of the different cluster root stages of P-starved plants.
The different clustering might therefore reflect the geographic origin rather than the differences between species.
The estimated curves of the different clusters are visualized in Figure 5. Analysis of the differences in cluster baseline characteristics and outcomes is shown in Table 1.
A significant difference was also found between survival rates of the different clusters via a log-rank test (p<0.001) in the Japanese cohort.
We also observed differences in RTSS localization preferences with respect to nearby genes for the different clusters.
No obvious differences were observed for gender distribution and median age at diagnosis between the different clusters.
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