plot_pareto_summary: Plot Pareto fronts (best markers) of all cell types in the...
In gillislab/MetaMarkers: Extract robust markers from multiple datasets
Description
Plot Pareto fronts (best markers) of all cell types in the (fold change of detection, AUROC) space.
Usage
1
plot_pareto_summary(meta_markers, min_recurrence = 1)
Arguments
meta_markers
Meta-marker table obtained with make_meta_marker.
min_recurrence
Recurrence threshold for a marker to be plotted
(# of datasets where marker was DE)
gillislab/MetaMarkers documentation built on April 24, 2021, 9:25 p.m.
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Description
Plot Pareto fronts (best markers) of all cell types in the (fold change of detection, AUROC) space.
Usage
1 | plot_pareto_summary(meta_markers, min_recurrence = 1)
|
Arguments
meta_markers |
Meta-marker table obtained with |
min_recurrence |
Recurrence threshold for a marker to be plotted (# of datasets where marker was DE) |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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