Sentence examples for clusters were assessed from inspiring English sources
Spatial clusters were assessed at 4 time periods – baseline (based on pre-injury health as reported prior to discharge from hospital), and one, four, and twelve months after discharge.
The functional affinities of the genes in the three down regulated clusters were assessed using the same GO-based approach as for the set of genes with Made1 target sites.
All unique SNP markers and their clusters were assessed and checked manually.
Stx2 production differences between clusters were assessed using the t-test function of R. In total, 10 serogroups and 12 unique serotypes were represented in the STEC panel.
The existence and location of spatial clusters were assessed by the spatial scan statistic using the Bernoulli model and default parameters available through the SaTScan v9.0.1 64-bit software package (http://www.satscan.org).org
To further understand the acquired antibody-based immunity to sand fly salivary proteins, the six most representative donor plasmas from each of the MENA regional resident study sites (associated with each of the four k-means clusters) were assessed for specific anti-SGS Ig isotype classifications.
Stability of clusters was assessed by silhouette values.
The correlation between them and their ability to form homogeneous clusters is assessed.
Stability of clusters was assessed evaluating the silhouette values [114] that measure how close each point in one cluster is to the points in the neighboring clusters.
The CTree [8] algorithm was used as a comparison method, along with the PAM (using the LogDet estimator as a distance measure) where the optimal number of clusters was assessed via the average silhouette value maximisation [14].
The possibility of functional enrichment in the genes that make up the observed trans-eQTL clusters was assessed through testing of their GO annotations using the functional annotation clustering component of the web-based genetic data analysis tool DAVID (http://david.abcc.ncifcrf.gov) [28], [34].
