cellity (version 1.0.2)

assess_cell_quality_PCA: ASSESS CELL QUALITY USING PCA AND OUTLIER DETECTION

Description

ASSESS CELL QUALITY USING PCA AND OUTLIER DETECTION

Usage

assess_cell_quality_PCA(features, file = "")

Arguments

features

Input dataset containing features (cell x features)

file

Output_file where plot is saved

Value

Returns a dataframe indicating which cell is low or high quality (0 or 1 respectively)

Details

This function applies PCA on features and uses outlier detection to determine which cells are low and which are high quality

Examples

data(training_mES_features)
training_mES_features_all <- training_mES_features[[1]]
training_quality_PCA_allF <- assess_cell_quality_PCA(training_mES_features_all)