t-test and box plots for genes/compounds etc in healthy vs. disease
Takes measurements of genes/compounds/bugs/metabolites etc in healthy (control) individuals and individuals with some disease. Then does a t-test to find out how many of these genes/compounds/metabolites/bugs, etc are differentially abundnant 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.
Zitieren als
Dr. Soumya Banerjee (2024). t-test and box plots for genes/compounds etc in healthy vs. disease (https://www.mathworks.com/matlabcentral/fileexchange/47373-t-test-and-box-plots-for-genes-compounds-etc-in-healthy-vs-disease), MATLAB Central File Exchange. Abgerufen .
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- Industries > Biotech and Pharmaceutical > Genomics and Next Generation Sequencing >
- AI, Data Science, and Statistics > Statistics and Machine Learning Toolbox > Descriptive Statistics and Visualization > Statistical Visualization > Box Plots >
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Inspiriert von: Graphical User Interface for Solving Ordinary Differential Equations, Linear regression on log transformed data, Graphical User Interface for Solving Ordinary Differential Equations, A Graphical User Interface for Solving Delay Differential Equations and doing Local Search, Linear regression with statistics for multiple category data, Linear regression for multiple category data with different slopes for each, healthy_disease_boxplot.zip
Inspiriert: Graphical User Interface for Solving Ordinary Differential Equations for In-Vitro Infection, Wilcoxon rank-sum test and box plots for genes/compounds etc in healthy vs. disease
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Version | Veröffentlicht | Versionshinweise | |
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1.0.0.0 |