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Similar to the results of our analysis of the most common clusters in apical and basal cells, the functional categories showed a high degree of similarity between the cell types.
The most common clusters for each tag are displayed.
The most common clusters were C11, accounting for 44% of the isolates, and C15, accounting for 29% of the isolates.
SCC or milk yield during the follow-up period was compared for the most common clusters (C11 and C15), and for the most common pulsotypes (C11a and C15b) using univariable mixed-effect linear regression models.
The aims of this study were to: 1) estimate the population-based prevalence and trends of multimorbidity across all age groups; and, 2) assess the co-occurrence of chronic conditions and describe the most common clusters across multimorbidity groupings.
The most common clusters of chronic conditions were assessed by clustering the disease types per individual, then reporting the most common (frequencies) within dyads and triads, and also by estimating the prevalence of each cluster within the study population (per 100 persons).
Similar(54)
Otherwise, go to Step 2. The Fuzzy c-Means Clustering (FCM) algorithm is the most common cluster algorithm for RBF Network.
One of the most common clustering methods is to remove edges with highest betweenness, and group nodes that are in the same connected component into a cluster.
The most common clustered ePK gene encodes a TKL kinase.
The most common clustering pattern was biased towards dietary factors.
The five most common clustering patterns are presented in Table 4.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com