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Comprehensive Statistics for Metabolomics
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Basic Statistics for Metabolome Data
Mean, Max, Stdev, Kurtosis, frequency tables, detect outliers data preparation (detect outliers, normalize, replace empty data if needed)
Analysis of variance for classes (class-ANOVA)
find interaction effects between variables test for significant differences between mean values correlations within groups (statistical sheets and graphical output)
Multivariate analysis (with feature selection and model building)
find important variables (feature selection, biomarker detection) PCA, PCA-DA, PLS, CART (tree models), k-NN, SVM (machine learning)
MarkerView 1.1 (Applied Biosystems) Click here for software description.
Export data
make data (calculations, graphics) available as XML, EXCEL, HTML, PDF
Mean, Max, Stdev, Kurtosis, frequency tables, detect outliers data preparation (detect outliers, normalize, replace empty data if needed)
Analysis of variance for classes (class-ANOVA)
find interaction effects between variables test for significant differences between mean values correlations within groups (statistical sheets and graphical output)
Multivariate analysis (with feature selection and model building)
find important variables (feature selection, biomarker detection) PCA, PCA-DA, PLS, CART (tree models), k-NN, SVM (machine learning)
MarkerView 1.1 (Applied Biosystems) Click here for software description.
Export data
make data (calculations, graphics) available as XML, EXCEL, HTML, PDF
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Contributors : Vladimir Tolstikov, Tobias Kind
Vladimir Tolstikov
Last modified 2008-09-19 17:22
Contributors : Vladimir Tolstikov, Tobias Kind
Vladimir Tolstikov
Last modified 2008-09-19 17:22
