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These similarity distances between genes can be used to generate mutually exclusive clusters of genes.

Alternatively, local M and S populations may differ significantly, but all M and S populations may not form mutually exclusive clusters across the study area.

In this work, we look at the case where two interaction data sets are available and the aim is discover differences between the two sets in the form of mutually exclusive clusters.

This procedure requires the number of clusters to be specified in advance, and generates mutually exclusive clusters by comparing Euclidean distances between each subject and each cluster center in an interactive process using a K-means method.

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We tallied the causal genes for each mutually exclusive cluster to generate the histogram of causal gene counts per cluster.

The reorderings reveal the mutually exclusive cluster structures of A and B. We also applied the cluster validation method to the structures uncovered by the reorderings using random permutation.

Moreover, we find consistent patterns of genomic divergence across sampling sites and mutually exclusive clustering of M and S populations using genetic distances based on all 400,000 SNPs, implying that M and S are evolving collectively across the study area.

The trees were used to examine two important issues concerning M S diversification: 1) whether the pattern of genetic divergence for all SNPs resulted in mutually exclusive clustering of M and S, implying the collective evolution of each form across the study area and 2) whether patterns of divergence for a subset of SNPs in low divergence regions provided any evidence for introgression.

The 184 main survey items were allocated to 13 half-hour (30-minute) mutually exclusive item clusters that included seven science clusters, four mathematics clusters, and two reading clusters.

Two mutually exclusive gene clusters, B. thailandensis like flagellar gene cluster (BTFC) and Yersinia-like fimbrial gene cluster (YLF), have been linked to geographic origin and have been suggested for differentiating groups of B. pseudomallei (9 ).

Alternatively and not mutually exclusive, Ire1 clusters may be dynamic, such that constant rearrangements of the Ire1 molecules in clusters sustain transient intermittent oligomerization events on either side of the membrane.

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