Sentence examples similar to via supervised hierarchical clustering from inspiring English sources

NKAIN1 was also an essential classifier in supervised hierarchical clustering analysis.

These data were analyzed by supervised hierarchical clustering (Figure 1) and visual inspection indicated that the four subtypes are readily discernible in the Rembrandt dataset.

Genes that were expressed at significantly different levels between patients and controls were analyzed by supervised hierarchical clustering (uncentered correlation, complete linkage) [25] to visualize the correlation of co-expressed genes in Treeview (available at http://rana.lbl.gov/EisenSoftware.htm).htm

The dendrogram generated by supervised hierarchical clustering shows a clear separation between fed and fasted conditions.

Differential DNA methylation segregated PPR from PGR by supervised hierarchical clustering and may serve as potential biomarkers for prednisolone response.

The differentially expressed miRNAs of all three data sets were identified and summarized (Supporting Table 1), and two distinctive expression clusters of miRNAs were obtained by supervised hierarchical clustering analysis in each data set (Fig. 1C-E).

These were analyzed by supervised hierarchical clustering of samples using z-scored normalized data with a Pearson correlation (uncentered) similarity metric and average linkage clustering using CLUSTER and TREEVIEW software [ 45].

Overall similarities in gene expression across all samples were first computed by means of supervised hierarchical clustering using Cluster (uncentered correlation, average linkage) and the corresponding dendogram was generated using TreeView [ 51].

A Venn diagram (Fig. 2A) and heatmaps of supervised hierarchical clustering on the signature-specific genes (Fig. 2B E) demonstrate that these gene lists partially overlap, suggesting common biological characteristics, including redundant signaling and pathway activation.

A permutation value of P < 0.05 was considered statistically significant and used to select differentially expressed miRNAs for supervised hierarchical cluster analysis.

More specifically, SC-trees are novel supervised hierarchical clustering trees that use node specific dictionary and classifier training to direct input images based on classification results in the feature space at each node.