Wilcoxon rank-sum test and box plots for genes/compounds etc in healthy vs. disease
Perform a Wilcoxon rank-sum test or Mann-Whitney U-test (non-parametric test). Takes measurements of genes/compounds/bugs/metabolites etc in healthy
(control) individuals and individuals with some disease. Then does a Wilcoxon rank-sum test to find out how many of these genes/compounds/metabolites/bugs, etc are differentially abundant in healthy vs. disease in a statistically significant manner. Also generates box plots for each of the measured genes/compounds/bugs/metabolites. The data for healthy individuals and individuals with some disease must be supplied in separate files. The rows will represent different measured genes/compounds/bugs/metabolites
and the columns will be different individuals.
Citation pour cette source
Dr. Soumya Banerjee (2026). Wilcoxon rank-sum test and box plots for genes/compounds etc in healthy vs. disease (https://fr.mathworks.com/matlabcentral/fileexchange/47381-wilcoxon-rank-sum-test-and-box-plots-for-genes-compounds-etc-in-healthy-vs-disease), MATLAB Central File Exchange. Extrait(e) le .
Compatibilité avec les versions de MATLAB
Plateformes compatibles
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- Industries > Biotech and Pharmaceutical >
- AI and Statistics > Statistics and Machine Learning Toolbox > Descriptive Statistics and Visualization > Statistical Visualization > Box Plots >
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Remerciements
Inspiré par : Graphical User Interface for Solving Ordinary Differential Equations, Linear regression on log transformed data, Graphical User Interface for Solving Ordinary Differential Equations, Linear regression with statistics for multiple category data, Linear regression for multiple category data with different slopes for each, t-test and box plots for genes/compounds etc in healthy vs. disease
A inspiré : Graphical User Interface for Solving Ordinary Differential Equations for In-Vitro Infection
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| Version | Publié le | Notes de version | |
|---|---|---|---|
| 1.0.0.0 |
