Sentence examples for multivariate correspondence analysis from inspiring English sources

We used species pool, multivariate (correspondence analysis) and null model analyse to explore how species occurring in a given community are sorted from the regional species pool.

Differences in codon usage between the gene categories was analyzed by performing multivariate (correspondence) analysis using the program CodonW version 1.4.4 (http://codonw.sourceforge.net/).net/

A multivariate analysis (correspondence analysis) was done to verify resemblance between the communities.

Environmental variables (i.e. temperature, distance to coastline and elevation) were related to stand structure using multivariate constrained correspondence analysis.

Multivariate analysis (multiple correspondence analysis and cluster analysis) of 644 respondents was used to identify specific types of manure partnerships.

A distribution model of three taxa (spiders, carabid beetles, and butterflies) is related to influencing factors by means of multivariate statistics (canonical correspondence analysis (CCA), partial CCA).

Multivariate approaches like correspondence analysis and principal component analysis has previously been used to analyze variations in codon usage among genes [ 7].

Our measure of compositional bias simultaneously considered all 64 trinucleotides across a given sequence using a multivariate statistical technique (Correspondence Analysis, see Methods).

Data was analyzed using multivariate techniques (TWINSPAN, Detrended Correspondence Analysis, Cluster Analysis, and Kruskal Wallis test).

Multivariate analyses using multiple correspondence analysis (MCA) and ascendant hierarchical clustering on clinical, biological and therapeutic characteristics of SHPT were performed to identify subgroups of patients [ 22].

To obtain a preliminary architecture of the data, we conducted classical descriptive multivariate analyses using multiple correspondence analysis (MCA), clustering and principal component analysis (PCA) [17] as a first step to evaluate the data structure, reveal unknown relationships and reveal clusters of genes potentially involved in immune responses.