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Conventional geographic 'racial' groupings differ from one another only in about 6% of their genes.
Therefore the row and column groupings differ by one.
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For the other groups, marker alignments or groupings differed between the parental maps.
Additionally, the moderate and high fit groupings differed significantly from the low fit group for weight and BMI.
Indicator groupings differed on child and socio-demographic factors.
When drug response groupings differed between duplicate lines, both duplicates were omitted from the statistical analysis.
Groupings differed slightly for GRS13 and GRS30, and for unweighted and weighted GRSs based on the underlying distributions of risk allele load.
In a few cases, biomarker groupings differed slightly across datasets due to data availability, but we assured the same number of biomarkers per group in each dataset (Table 1).
Classifications, on the other hand, deal with "natural classes"—i.e., with groupings that differ from other groupings in as many particulars as one can discover.
TNM7 prognostic groupings also differ with regard to histopathological cell type.
A number of alternative groupings and differing weight assignments can be used with our approach.
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