Sentences with phrase «hierarchical cluster analysis»

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).

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.

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.

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

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).

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

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.

Not exact matches

(A) Heat map illustrating hierarchical clustering of differentially expressed genes identified in a pair-wise analysis of all four fractions.

Hierarchical clustering with heat map analysis revealed that the 39 tumors as well as the re-extracted VP62 (2012) sample were negative for XMRV (Fig. 2, «2012»).

Correlation of differentially expressed transcripts was detected by hierarchical clustering of expression values with the Cluster version 2.11 software [52] applying mean centering and normalization of genes and arrays before the computational clustering analysis.

Transcriptomics analysis of inguinal WAT showed a marked effect of cold on overall gene expression, as revealed by principle component analysis and hierarchical clustering.

Specific statistical areas of expertise include factor and cluster analysis, basic bivariate analyses, repeated measures analyses, linear and hierarchical / mixed models, structural equation modeling, and nonparametric analyses including logistic regression techniques.

Preliminarily assuming that there are three factors, we performed an oblique rotation (oblimin) for explanatory factor analysis and cluster analyses (hierarchical and non-hierarchical methods) with the N - GED48 scale.

Further, we excluded similar question items based on hierarchical and non-hierarchical cluster analyses.