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Death case numbers were compared between clusters with high-risk mortality and those lying outside the clusters.
In this analysis, proportions of GO terms [ 18] and pathway (KEGG) [ 26] annotations were compared between clusters showing small network distances (≤ 3 shortest distance) and the remaining CGPs (≥ 4) in each matrix.
After source-detector pairs were clustered with CCA, the temporal metrics, TtP and duration, were compared between clusters for sequential finger tapping and card flipping using a two-sampled T-test.
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60-day mortality was compared between clusters to determine the association between cytokine trajectory and mortality.
Normalization of gene ratios, i.e. chromatin state enrichment levels, within expression clusters allows chromatin state maps to be compared between clusters.
The clinical and epidemiologic characteristics of patients belonging to each of the six most common spoligotype clusters were compared between these clusters and also against all patients not in the analyzed cluster.
The percent positive scores of the 12 sub-dimensions were compared between the two clusters using t tests.
Subjects' characteristics were compared between the dietary clusters using the χ statistic for discrete variables and ANOVA for continuous variables.
Household asset scores were derived and the percentages of households in the lowest quintiles were compared between the identified cluster and those outside of it.
Clusters were compared between newborn and adult datasets and blasted against miRBase.
To identify unique and shared sequences between the newborn and adult datasets, these newborn and adult miRNA clusters were compared between themselves using CD-HIT.
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