Package index
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aggregateYhat() - Aggregate predicted leave-one-out probabilities over meta variables
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calculateStats() - Aggregate predicted leave-one-out probabilities over meta variables over a list of SingleCellExperiment objects
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compute_y_hat() - Internal function to compute y_hat on a subset of the features
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generate_data() - Simulate CellProfiler data and write to a temporary file
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loadData() - Load cell painting data from file and convert to a SingleCellExperiment
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plotAUC() - Plot AUC comparison
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plotCellsPerImage() - Plot number of cells per image
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plotLOO() - Plot predicted leave-one-out probabilities
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plotPCACor() - Plot number of cells per image
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plotROC() - Plot ROC curves
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predictLOO() - Predict target from features
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removeLowVariance() - Filter low variance features
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removeNAs() - Remove cells with missing features
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removeOutliers() - Remove cells if not enough or too many in one image
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removeZeroInflation() - Remove zero-inflated features
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transformLogScale() - Filter low variance features
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volcanoPlot() - Plot predicted leave-one-out probabilities