These studies suggest that the first strategy uses a sequential representation and the second uses a hierarchical cluster-based representation.
The Genesis program uses a hierarchical clustering method that enables groups of variables with similar expression levels to be clustered together, as well as grouping together patient samples with similar expression patterns.
However, when using a hierarchical cluster analysis, distinct profiles of coagulation were evidenced, defining 3 biological classes.
Based on historical maps and aerial photographs the LULC trends were determined using a hierarchical cluster analysis.
Global shark biogeographic units were identified by using a hierarchical cluster analysis, a standard method used to find structure in a multivariate dataset.
These candidate compounds were then clustered using a hierarchical cluster method based on both their two-dimensional compound structures and protein-ligand interactions [20], [21], similar to Jain's work [22].
This was done by using a hierarchical cluster analysis in order to identify clusters of individuals, and by taking into consideration the two DCt values corresponding to the ICCA.SRa and ICCA.SRb subregions, respectively.
We found these identified bcDMPs were able to separate the cancer and healthy samples using a hierarchical cluster approach.
To graphically visualise the relationship between the expression profiles of these three molecules, we used a hierarchical cluster analysis.
Risk factors were grouped using a hierarchical cluster analysis and the clusters were included with demographic information as predictors in logistic regressions to discern which risk factor clusters best predicted specific symptoms.
