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HCA is the general designation of methods for grouping samples characterized by data vectors or matrices, eventually forming clusters.
However, finer grained analysis demonstrated considerable variability in ecomorph frequencies over time, suggesting that substantial short-term variability is masked when grouping samples by member.
Haplotype reconstruction allowed grouping samples into 28 distinct haplotypes/alleles (Table 3).
The SPC prognostic gene list was able to correctly sort samples from anatomical segments of the normal kidney and was particularly good at grouping samples from the normal cortex and glomeruli.
After grouping samples according to stage information, Chronic and Non-progressive samples were then clustered.
In general, we did this by grouping samples that were in the same mtDNA clade.
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The overall sampling strategy includes principles for grouping, sampling proportion within group and sampling method from each group.
Fig. 2 Histological comparison of NC and SL groups samples.
Precision is a number of relevant samples retrieved divided by the total number of grouped samples.
Therefore, we grouped samples 4′ 8′ for analysis and compared the results with sample 1′.
Both migrant group samples were divided into samples defined by visible minority status and mother tongue.
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