Results: Unsupervised hierarchical clustering of hallmark pathways demonstrated an immune-related tumor cluster.

A total of 15 modules were identified through average linkage hierarchical clustering.

Gene expression results using hierarchical clustering revealed an overall dietary effect.

Based on this dependence measure, we developed a hierarchical clustering method.

Comprehensive analyses with hierarchical clustering, Rank-sum analysis and Pearson correlation tests were performed.

The hierarchical clustering of these 128 different cancers showed modular characteristics.

Pearson's correlation tests and hierarchical clustering were performed to compare the profiles obtained.

Topographical findings from tau-PET were characterized using hierarchical clustering and clinical characteristic-based subcategorization.

Methods: Our algorithms employ hierarchical clustering algorithms as the basis.

Patient subgroups based on DEGs were created by hierarchical clustering and topological data analysis.

Unsupervised hierarchical clustering of 4364 genes demonstrated substantial heterogeneity resulting in four distinct groups.

The NMF scores were introduced in a hierarchical clustering process.

Despite its shortcomings in accuracy, hierarchical clustering is the dominant clustering method in bioinformatics.

All TNBCs clustered with reference basal-like tumors by hierarchical clustering.

Volcano plot and hierarchical clustering were performed to examine the accuracy of the miRNAs.

We propose three different methods based on correlation analysis, graph theoretical measures and hierarchical clustering.