assess_cell_quality_PCA {cellity} | R Documentation

## 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

### Details

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

### Value

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

### 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)

[Package cellity version 1.8.0 Index]