Description Usage Arguments Details Value See Also Examples
plot filtering of samples
1 2  | filterSamplesPlot(object, min_in_peaks = NULL, min_depth = NULL,
  use_plotly = interactive())
 | 
object | 
 SummarizedExperiment with matrix of fragment counts per peak 
per sample, as computed by   | 
min_in_peaks | 
 minimum fraction of samples within peaks  | 
min_depth | 
 minimum library size  | 
use_plotly | 
 make interactive plot?  | 
If unspecified, min_in_peaks and min_depth cutoffs will be estimated based on data. min_in_peaks is set to 0.5 times the median proportion of fragments in peaks. min_depth is set to the maximum of 500 or 10 median library size.
indices of samples to keep
getCounts,  getPeaks, 
filterPeaks
1 2 3 4 5 6 7 8  | data(example_counts, package = "chromVAR")
counts_filtered <- filterSamples(example_counts, min_depth = 1500,
                                  min_in_peaks = 0.15, shiny = FALSE)
counts_filtered_plot <- filterSamplesPlot(counts_filtered, 
                                          min_in_peaks = 0.15,
                                          min_depth = 1500, 
                                          use_plotly = FALSE)
 | 
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.