and GelCompar II Dimensioning Techniques Module
For an overview see
Dimensioning Techniques provides a
number of grouping methods which may be used as an alternative to
- Principal Components
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
- 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.