Sentence examples for between samples and clusters from inspiring English sources
A particular strength of SWISS's use of standardized Euclidian distance between samples and clusters (noting that other measures may substitute for distance) is that comparisons across platforms are directly interpretable.
A basic cluster-association matrix BM is generated at first based on the crisp associations between samples and clusters using HBGF, in which there are n samples and m× k clusters.
The distances between samples and clustering centroids were measured using the square of the Euclidean distance (6) d = || x p − μ ^ i ||, p = 1,2, …, n ; i = 1,2, …, λ n, where x p represents clustering samples and μ ^ i represents clustering centroids.
A representative result of the top-scoring SAM-identified autoantigens (false discovery rate (q values) ≤ 4.3%) is presented in Figure 3, and hierarchical cluster analysis was performed to organize and visualize relationships between samples and antigens (Cluster® software).
Examination of field samples revealed considerable variation between samples and no clustering was evident based on nest or location origin (data not shown).
A distance matrix was determined between samples and then used for hierarchical clustering over 10,000 permutations (z.threshold = 15, outlier.n = 2).
r = N ΣXY - ΣX ΣY NΣ X 2 - ΣX 2 NΣ Y 2 - ΣY 2 Distances between samples and assays were calculated for hierarchical clustering based on the ΔCT values using Pearson's correlation or the Eucidian distance calculated as follows [ https://products.appliedbiosystems.com].
Unsupervised hierarchical clustering investigated relationships between samples and relationships between genes.
Hierarchical clustering of the total gene expression was performed using a distance matrix to assess the relationship between the samples and identify clusters amongst the time points.
For this analysis we compared differential gene expression between samples of cluster 9 and 18 (separately for FF and FFPE).
Differential gene expression between samples of Cluster 9 and Cluster 18 then showed a relatively strong correlation between FF on HU133 plus 2.0 and FFPE on HuEx 1.0 ST arrays (R=0.54; P<0.001.
