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Although this is a simplified regulatory scheme, it points out differences in the regulation programs of each clusters that can lead to the various dynamical response types we observe.
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The genes in each cluster that were dynamically regulated among the mesenchymal stem cells (MSCs) were analysed.
For all the cases, the lower bounds for such strengths of couplings within each cluster that secure the synchronization as well as cluster synchronization rate are explicitly specified.
Finally, the clustering result of PICC contains extra information about the distribution status inside each cluster that could help the manager to decide when is most proper to launch a specific sales promotion campaign.
To examine associations between malaria endemicity and cluster-level indicators, the proportion of adults in each cluster that were parasitemic with P. falciparum served as an index of malaria endemicity.
For each cluster that had consistent COG hits, i.e., matches ≥5 non-redundant significant homologs from the same COG, the top matching COG was assigned to this cluster.
Alternatively, Trinity [ 8] uses a different approach of first clustering the data, then constructing an individual de Bruijn graph for each cluster that has simple structure.
Briefly, the percentage of data points in each cluster that were from patients with a given outcome was calculated for each of the three outcomes.
This means that there are structural differences among the pathways in each cluster that could not be captured by the similarity score.
Relationships between genes were graphed based on best reciprocal hits and best score ratios, before constructing multiple sequence alignment on each cluster that was derived.
Each cluster that was characterised by highly co-regulated genes was then functionally annotated for GO terms using the web based tool DAVID [ 55].
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