Sentences with phrase «using hierarchical clustering»

At that point, samples were sorted using hierarchical clustering and then removed one by one and reclustered at each step until two distinct clusters of expression were shown.

A further semi-objective classification using hierarchical cluster analysis is in line with these classifications, supporting the metadata approach.

The cluster dendogram was generated using a hierarchical cluster analysis in R (http://stat.ethz.ch/R-manual/R-patched/library/stats/html/hclust.html).

Microarray hybridization patterns were interpreted using hierarchical cluster analysis as previously described [65], [66].

9 We also attempted to use hierarchical clustering (where the number of clusters is not specified beforehand but is dictated by the data), however, this method did not produce satisfactory clusters.

Not exact matches

Hierarchical clustering of the differentially expressed lncRNAs was observed and 10 up - regulated lncRNAs were detected using microarrays.

Gene expression profiles measured using human genome Affymetrix Gene Chip arrays were grouped by hierarchical clustering, and correlation coefficients were computed for all pair-wise comparisons (Fig. 4A).

Probesets were centered by mean expression values, and hierarchical clustering was performed by complete linkage and uncentered correlation as the similarity metric using Cluster 3.0 program.

The relations between the samples were calculated by hierarchical clustering using Pearson correlation distance metric.

Clustering of genus abundance profiles was performed by hierarchical clustering using the scale - invariant Pearson correlatiClustering of genus abundance profiles was performed by hierarchical clustering using the scale - invariant Pearson correlaticlustering using the scale - invariant Pearson correlation metric.

In a second step, the resulting clusters, represented by mean profiles, were clustered using average linkage hierarchical clustering with Pearson correlation distance measure, and visualized in a heatmap representation [52].

Unsupervised hierarchical clustering of the 5,959 genes, using 100 random permutations, gave rise to 115 groups, containing a total number of 2,855 transcripts, with a probability of 95 % or higher that clustering was not random (Supplemental File S2).

The nucleotide sequences for all integrases available in the database INTEGRALL [51] were downloaded (1323 sequences) and grouped using single - link hierarchical clustering with a cut - off of 90 % sequence similarity over at least 50 amino acids.

In order to reveal more specific associations between eating behavior and the parent — child relationship, eating behavior subgroups derived from hierarchical cluster analysis were used (Schacht et al., 2006).