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Probability of independency between two clusters using the two-tailed Mann-Whitney's U test.
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In this model, the communication between two clusters use cooperative transmission.
A total of 3102 of 8519 probes were differentially expressed between the two clusters using SAM.
The percent positive scores of the 12 sub-dimensions were compared between the two clusters using t tests.
The first part of (10) is similarity between two clusters, which is used to evaluate the similarity of two clusters; the smaller the similarity, the better the cluster effects will be, and vice versa.
Hotelling's trace statistics, being a natural measure of distance between two clusters of points, can be used as a test statistic to determine the significance of the observed test statistic.
Fisher exact and chi-squared tests were used to analyze for difference between our two main clusters using batch, experiment date, storage medium, RNA-concentration and hospital of inclusion as variables.
(The UPGMA used because the distance between two clusters was calculated as the average distance between all pairs of objects in two different clusters).
We used the Ward's linkage: the distance between two clusters is the increase of variance observed after merging the two clusters.
Weighted average linkage uses a recursive definition for the distance between two clusters.
We use method = 'furthest' which means the distance between two clusters is the maximum of all the distances between any sample in one cluster and any sample in the other cluster.
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