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By cutting the dendrogram in Figure 5 at various linkage costs we are able to extract clusters of the desired granularity.
We used a modified version of the Markov clustering algorithm to systematically extract clusters of co-regulated genes from hundreds of microarray datasets stored in the Gene Expression Omnibus database (n = 1,484).
Using a walk trap community algorithm and permutation approaches (with n = 1000), we were able to extract clusters of proteins from the network (Details are available in Methods S1).
Stage 2 (extract clusters).
Results: We find that by working on a gene-by-gene basis, our model is able to extract clusters with greater functional coherence than existing methods.
We then apply iBBiG to extract clusters or 'modules' of groups of phenotypes whose gene expression profiles are enriched in similar gene sets (Supplementary Fig. 1).
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Then the UEs extract cluster ID from beacon signal and report to the eNB.
Cluster analysis was used to group the phenolics and extracts, and thyme extract clustered in the presumptive hepatotoxic group in rat MH1C1 hepatoma cells, but not in human HepG2/C3A cells.
Second, the geographical distributions of the extracted clusters as well as other tube well profiles (altitudes and depths) are visualized by GIS.
We have designed a multi-layer graph clustering method that extracts clusters of nodes, called 'network hubs', which display higher levels of connectivity within the cluster than to the rest of the brain.
We selected two representative competing methods, the popular MCODE [16] that extracts clusters from locally dense regions, and the hypergeometric p-value for neighbor sharing that ranks pairs of vertices without an intermediate step of predicting clusters or complexes [17].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com