An S4 class to containing features, dimensionality reduction information, and trained models
pvarColumn name from metadata to use as the variable to predict using
metadataA data frame to store metadata including prediction variable (pvar)
featuresA data frame with the following information:
feature: Eigenvector (e.g. principal component)
pValue: Significance value from a wilcoxon test
pValueAdj: Adjusted p-value for multiple testing
loadingsGene loadings
scalingMeans and standard deviation to center and standardize data
reductionDimensionality reduction name
reduction_keyDimensionality reduction name key
trainA list with all trained models using the caret package. Each model correspond to a cell type
mistA list to store extra information and for developing testing
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