Man pages for scFeatureFilter
A correlation-based method for quality filtering of single-cell RNAseq data
| bin_scdata | Bin genes by mean expression. |
| calculate_cvs | Compute mean expression level, standard deviation and... |
| correlate_windows | Calculate correlations against top window. |
| correlations_to_densities | Transform the correlation table to density distributions of... |
| define_top_genes | Define the reference window using the most highly expressed... |
| determine_bin_cutoff | Determine a threshold for selecting bins of features based on... |
| filter_expression_table | Filter binned expression matrix |
| get_mean_median | Extract mean and median correlation coefficient values |
| plot_correlations_distributions | Produce a density plot of correlation values for each window... |
| plot_mean_variance | Produce a mean expression x coefficient of variation scatter... |
| plot_metric | Produce a bar chart of mean (or median) correlation... |
| plot_top_window_autocor | Utility plot to choose a top_window size |
| scData_hESC | Expression data from 32 human embryonic stem cells |
| sc_feature_filter | Filter scRNA-seq expression matrix to keep only highly... |
