Sentence examples for between clusters were determined from inspiring English sources

Differences between clusters were determined by Kruskal-wallis test for continuous variables and chi-square test for categorical variables.

In most cases, the cluster-joining analysis was made with Euclidian distance and complete linkages as the amalgamation rule, that is, distances between clusters were determined by the greatest distance between any two objects in the different clusters.

Separation between clusters was determined by squared Euclidean distance, with the optimal cluster number solution determined by inspection of distance measures at each stage of the analysis.

Correlations between gene clusters were determined using Pearson's correlation.

Statistical differences in the ratings between these clusters were determined by analyzing the ratings with an ANOVA which included cluster and subclinical seizure type (typical Landau-Kleffner syndrome, atypical Landau-Kleffner syndrome, subclinical epileptiform discharges) as the independent effects as well as the interaction between these two effects.

The relationships between transcription factors and gene clusters were determined based on RNN models.

Four types of snoRNA clusters were determined depending on the synteny characteristics of the clustered snoRNAs between chicken and human.

The significant clusters were determined using the same criterion from the above GLM and gPPI analyses.

Clusters were determined using Statgraphics Plus 5.0.

Spatial clusters were determined by calculating the maximum likelihood ratio.

A total of six clusters were determined.