Simulation tool for optimal design of high-dimensional MS-based
proteomics experiment
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Documentation for package ‘MSstatsSampleSize’ version 1.12.0
Help Pages
| classification_results | Example of output from designSampleSizeClassification function |
| designSampleSizeClassification | Estimate the mean predictive accuracy and mean protein importance over all the simulated datasets |
| designSampleSizeClassificationPlots | Visualization for sample size calculation in classification |
| designSampleSizeHypothesisTestingPlot | Sample size calculation plot for hypothesis testing |
| designSampleSizePCAplot | PCA plot for each simulation |
| estimateVar | Estimate the mean abundance and variance of each protein in each condition. |
| meanSDplot | Mean-SD plot |
| MSstatsSampleSize | MSstatsSampleSize: A package for optimal design of high-dimensional MS-based proteomics experiment |
| OV_SRM_train | The training set from a study for subjects with ovarian cancer |
| OV_SRM_train_annotation | Annotation file for 'OV_SRM_train', |
| simulateDataset | Simulate datasets with the given number of biological replicates and proteins based on the input _data_ |
| simulated_datasets | Example of output from simulateDataset function |
| variance_estimation | Example of output from estimateVar function |