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2009 BioSystematica

BioNumerics and GelCompar II Dimensioning Techniques Module

For an overview see BioNumerics.

Dimensioning Techniques provides a number of grouping methods which may be used as an alternative to cluster analysis.

  • Principal Components Analysis. Non-hierarchic grouping by PCA. Spatial representation of clouds of entries in X-Y-Z coordinate system. Indication of total discrimination of axes. Real-time rotation of coordinate system to enhance perception of 3-D structures. Advanced Open-GL presentation and layout for publication. Delineation of populations using colors and/or codes. Plotting of dendrogram branches on PCA for advanced grouping comparisons.
  • Multi-Dimensional Scaling. Non-hierarchic grouping by MDS. Same presentation features as for PCA. Iterative optimization of distances according to similarity matrix.
  • Self-Organizing Maps. Non-hierarchic grouping by the technique of SOM (Kohonen maps), a sort of neural network.
    MANOVA. Advanced statistical analysis of discriminative features between selected groups with indication of confidence based on multivariate analysis of variance.
  • Statistics. A number of parametric and non-parametric statistical tests can be performed in an easy and intuitive environment (Chi-square test, T-test, Wilcoxon signed-ranks test, Kruskal-Wallis test, ANOVA, Pearson correlation test, Spearmann rank-order test. Automatic display available tests for each input data type. Kolgomorov-Smirnov test for normality of character data.

For further details please download the BioNumerics/GelCompar pdf brochure.