decoupler.plot_running_score
- decoupler.plot_running_score(df, stat, net, set_name, source='source', target='target', cmap='RdBu_r', figsize=(5, 5), dpi=100, return_fig=False, save=None)
Plot the running score of GSEA.
- Parameters:
- dfDataFrame
Long format DataFrame with features to be ranked. Assumes features are indexes.
- statstr
Name of the column containing the ranking metric.
- netDataFrame
Network in long format.
- set_namestr
Name of the feature set to plot.
- sourcestr
Column name in net with source nodes.
- targetstr
Column name in net with target nodes.
- cmapstr
Colormap to use.
- figsizetuple
Figure size.
- dpiint
DPI resolution of figure.
- return_figbool
Whether to return a Figure object or not.
- savestr, None
Path to where to save the plot. Infer the filetype if ending on {
.pdf,.png,.svg}.
- Returns:
- figFigure
Returns Figure object.
- le_c: ndarray
List of leading edge features. If ES is positive, these are the top ranked features. If ES is negative, these are the bottom ranked features.