plot_QC_pairs {scPipe} | R Documentation

## Plot GGAlly pairs plot of QC statistics from `SingleCellExperiment` object

### Description

Plot GGAlly pairs plot of QC statistics from `SingleCellExperiment` object

### Usage

    plot_QC_pairs(sce, sel_col = NULL)

### Arguments

`sce` | a `SingleCellExperiment` object
`sel_col` | a vector of column names which indicate the columns to use for plot. By default it will be the statistics generated by 'calculate_QC_metrics()'

### Value

a ggplot2 object

### Examples

    data("sc_sample_data")
    data("sc_sample_qc")
    sce = SingleCellExperiment(assays = list(counts = as.matrix(sc_sample_data)))
    organism(sce) = "mmusculus_gene_ensembl"
    gene_id_type(sce) = "ensembl_gene_id"
    QC_metrics(sce) = sc_sample_qc
    demultiplex_info(sce) = cell_barcode_matching
    UMI_dup_info(sce) = UMI_duplication
    sce = detect_outlier(sce)

    plot_QC_pairs(sce)

[Package scPipe version 1.0.6 Index]