Identify differences in distribution of features across sample groups
Visualize differences between groups of samples, e.g. cases and control.
Measurements across sample groups are compared by parametric and non-parametric
statistical tests, including anova, nested anova, t-test, paired t-test,
Bayesian t-test, Wilcoxon-rank test and Mann-Whitney U test.
Significant different features are shown as box plot, bar chart or strip chart.
Version: 5.16 | Contact: L.Krause@uq.edu.au | Number of sessions today: 0 | Disclaimer