1 天前 - … Our model is defined through a hierarchical structure … to cluster the locations on
the basis of these vectors. To that end, we utilize the partioning around medoid (PAM) clustering …

1 天前 - … ESCC lesions and screened using hierarchical clustering and dimensionality
reduction … model and visualized through feature clustering and feature contribution heatmaps. A …

1 天前 - … By employing principal component analysis and hierarchical cluster analysis,
these signals are transformed into unique fingerprints and Euclidean distances, respectively, …

1 天前 - … The hierarchical structure of the data in cluster-randomized trials (CRTs) complicates
… for a one-period two-treatment parallel cluster-randomized trial using the Bayes factor. We …

1 天前 - … In Step 2, we apply hierarchical clustering techniques to extract hierarchical
contextual situations hcs j from those hyperbolic embeddings. In Step 3, we use hcs j to provide …

1 天前 - … Our method combines triclustering and hierarchical clustering and is three-fold: (1) …
, and (3) find the progression groups using hierarchical clustering. We applied the proposed …

3 天前 - … Gene expression data from Bailey et al. were reanalyzed and organized into
hierarchical clusters based on established gene signatures 5 and specific markers identified in this …

3 天前 - … Generalized Linear Model (GLM)–Poisson regression, quantile regressions and
hierarchical cluster analyses were used to identify the factors underlying local richness and the …

3 天前 - … In the intricate task of analyzing criminal networks on social media, our Social
Network Forensic Analysis (SNFA) model utilizes hierarchical clustering and distance formulas to …

3 天前 - … Peptide-binding motif (PBM) model, a hierarchical clustering of HLA class I based
on their binding specificity, was developed to predict immunopeptidome divergence. The …