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aMeasures of differentiation were computed between populations as inferred by the cluster analyses.
To investigate which aspects of the LUC expression underlie the observed spatial organisation detected by the cluster analyses, we used two statistical approaches including notch‐filtering of the Fourier spectra and spectral embedding to investigate a dimensionally reduced signal.
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For example, in the cluster analyses by Wilson et al. [ 10], Loevinger et al. [ 7] and de Souza et al. [ 5], there appear to be at least one subgroup of patients who have high physical and psychological symptoms (similar to our cluster 4) and one subgroup with less psychological distress and low levels of physical symptoms (similar to our cluster 1).
The cluster analyses as implemented by structure identified the most probable model as K = 2.
Most previous microarray studies utilized banked tissue [ 1- 4] and hypoxia-related genes may influence the result of the clustering analyses by affecting the ranking of differentially expressed genes.
The clustering analyses, by being based on continuous outcomes (probabilities), were anticipated to be more powerful in identifying patterns of heterogeneity; as such, they were crucial in helping inform heterogeneity analyses in the SALCs.
>> Two major clusters were recovered from the dendrograms produced by the hierarchical cluster analyses of external and craniodental variables, supporting the PCA analysis.
This finding was supported by the local cluster analyses, where distinct FSAs with high SIRs, mainly in downtown Toronto, were detected.
This finding was subsequently supported by the local cluster analyses, where distinct FSAs, mainly in downtown Toronto, were identified as areas with significantly high SIRs.
This finding was supported by the local cluster analyses, where distinct FSAs with high rates, mainly in downtown Toronto, were detected.
A principal components analysis (PCA) was then used to verify that the 4 subgroups of individuals identified by the K-means cluster analyses were distinguishable by this unsupervised test.
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