assess_cell_quality_PCA {cellity} | R Documentation |
ASSESS CELL QUALITY USING PCA AND OUTLIER DETECTION
assess_cell_quality_PCA(features, file = "")
features |
Input dataset containing features (cell x features) |
file |
Output_file where plot is saved |
This function applies PCA on features and uses outlier detection to determine which cells are low and which are high quality
Returns a dataframe indicating which cell is low or high quality (0 or 1 respectively)
data(training_mES_features) training_mES_features_all <- training_mES_features[[1]] training_quality_PCA_allF <- assess_cell_quality_PCA(training_mES_features_all)