Sentences with phrase «hierarchical clustering»

"Hierarchical clustering" refers to a method in data analysis that groups similar objects or data points together based on their characteristics or features. It creates a hierarchical structure or tree-like diagram that shows how these objects are related and grouped at different levels of similarity. Full definition
Microarray hybridization patterns were interpreted using hierarchical cluster analysis as previously described [65], [66].
Proteins (n = 59) that were quantified and determined to be significantly different in abundance by ANOVA (p ≤ 0.01) when comparing CFS from nPTLS subject samples and allow for separation of these two syndromes when performing unsupervised hierarchical cluster analysis.
Hierarchical clustering revealed distinguishable lncRNA expression profiles.
(a) Heatmap of the top differentially expressed genes between baseline and follow - up («vacation» effect) after two - way hierarchical clustering.
(A) Heat map illustrating hierarchical clustering of differentially expressed genes identified in a pair-wise analysis of all four fractions.
Hierarchical clustering organized samples according to differentiation stages, with undifferentiated ES cells and early differentiation states at the left and progressively more differentiated states toward the right.
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.
The tree - like dendrogram structure obtained from hierarchical clustering can provide a qualitative overview of the results, which is important for focusing detailed analysis.
The proteins considered in the unsupervised hierarchical clustering analysis were quantified in individual samples and found to be significantly different in abundance by analysis of variance (ANOVA p ≤ 0.01, Table S3); while PCA analysis considered all proteins quantified in each individual sample.
But by hierarchical clustering of observed alterations in endocytosis, the researchers identified two distinct cancer phenotype clusters, one marked by mutations in the oncogene KRAS in mesenchymal cells and the other by changes in epithelial cells.
There is no empirical evidence for either a top or a bottom limit to this hierarchical clustering, he says.
The proposed Ad Hoc routing protocol, called QoS Group Cluster Based Routing Protocol (QoSG - CBRP), uses as a strategy the hierarchical clusters supported by the clustering algorithm.
Hierarchical clustering of the differentially expressed lncRNAs was observed and 10 up - regulated lncRNAs were detected using microarrays.
Virochip microarrays were analyzed with Z - score analysis [18], hierarchical cluster analysis [50], and E-Predict, an automated computational algorithm for viral species prediction from microarrays [51].
However, it is a dwarf galaxy whose formation might better be explained by the «bottom - up» model called «hierarchical clustering».
Hierarchical clustering of 2,169 differentially expressed genes among the four fractions, V − S +, V+S +, V − S −, V+S −.
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).
Hierarchical clustering of differentially expressed genes identified in a pair-wise analysis of all four fractions in both clones is shown in Figure 4A.
Unsupervised hierarchical clustering and PCA were employed to determine if the observed quantitative differences in protein abundances were sufficient to distinguish these two patient groups (this was de facto blinded — as samples were run in a random order and uncoded as to disease group afterwards).
To better visualize changes in gene expression programs during differentiation, we performed k - means clustering analysis, followed by hierarchical clustering, to group genes by their timing of induction or suppression during the normal ES cell differentiation process.
Transcriptomics analysis of inguinal WAT showed a marked effect of cold on overall gene expression, as revealed by principle component analysis and hierarchical clustering.
Clustering (K - Means & Hierarchical Clustering) 11.
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.
Hierarchical cluster analysis was applied, and four time perspective patterns were distinguished with some significant differences in students academic procrastination and interest in decreasing it.
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