Statistical Methods for Chemoproteomics Dose-Response Analysis


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Documentation for package ‘MSstatsResponse’ version 1.0.0

Help Pages

.extractTemplatesFromData Helper function to extract template profiles from user data
bootstrapIC50 Bootstrap IC50 Estimates and Confidence Interval (ratio scale)
bootstrapIC50LogScale Bootstrap IC50 Estimates and Confidence Interval (log scale)
convertGroupToNumericDose Convert MSstats GROUP labels to numeric dose in nM and extract drug name
DIA_MSstats_Normalized Example pre-processed DIA-MS dataset
doseResponseFit Drug-protein interaction detection tested by F-test (fitted curve vs average response)
fitIsotonicRegression Fit Isotonic Regression Model
futureExperimentSimulation Test future experimental design using simulated data with user-defined or default templates
MSstatsPrepareDoseResponseFit Prepare data for dose-response fitting with isotonic regression
plotHitRateMSstatsResponse Plot hit rates by category
plotIsotonic Plot Isotonic Regression Model
predictIC50 Predict IC50 (dose where response = target) for each protein and drug
predictIC50Parallel Parallel version of predictIC50 function
simulateChemoProteinLevelNonParametric Simulate chemoproteomics data at the protein level - non-parametric approach
visualizeResponseProtein Plot isotonic regression fit with optional IC50 for a single protein and drug