User-friendly Workflow for Pre-processing and Statistical Analysis of Mass Spectrometry Data

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Documentation for package ‘POMA’ version 1.0.0

Help Pages

PomaBoxplots Classical Boxplots
PomaClust Cluster Analysis
PomaCorr Correlation Analysis
PomaDensity Distribution Plot
PomaEDA Automatic Exploratory Data Analysis PDF Report
PomaHeatmap Classical Heatmap
PomaImpute Collettion of Imputation Methods for Mass Spectrometry Data
PomaLasso Lasso, Ridge and Elasticnet Regularized Generalized Linear Models for Binary Outcomes
PomaLimma Implementation of limma R Package on Mass Spectrometry Data
PomaMSnSetClass Convert data frames to a MSnSet Object
PomaMultivariate Multivariate Statistical Methods for Mass Spectrometry Data
PomaNorm Collection of Normalization Methods for Mass Spectrometry Data
PomaOddsRatio Logistic Regression Model Odds Ratios
PomaOutliers Remove and Analyze Outliers
PomaRandForest Classification Random Forest for Mass Spectrometry Data
PomaRankProd Rank Product/Rank Sum Analysis for Mass Spectrometry Data
PomaUnivariate Univariate Statistical Methods for Mass Spectrometry Data
PomaVolcano Volcano Plot
st000284 Colorectal Cancer Detection Using Targeted Serum Metabolic Profiling
st000336 Targeted LC/MS of urine from boys with DMD and controls