plot_top_window_autocor: Utility plot to choose a top_window size

In scFeatureFilter: A correlation-based method for quality filtering of single-cell RNAseq data

Description

Plot mean autocorrelation value of the features of the top window depending on increasing top window size.

Usage

plot_top_window_autocor(sc_data, from = 10, to = 400, by = 2, ...)

Arguments

sc_data	A tibble, usually the output of link{calculate_cvs}.
from	Minimum size of the top window.
to	Maximum size of the top window.
by	Size of the steps to walk form from to to. See seq.
...	Arguments to be passed to cor, for example method = "spearman"

Value

A ggplot2 plot.

Examples

plot_top_window_autocor(calculate_cvs(scData_hESC))

scFeatureFilter documentation built on Nov. 8, 2020, 7:49 p.m.