decoupler.plot_volcano_df
- decoupler.plot_volcano_df(data, x, y, top=5, sign_thr=0.05, lFCs_thr=0.5, sign_limit=None, lFCs_limit=None, color_pos='#D62728', color_neg='#1F77B4', color_null='gray', figsize=(7, 5), dpi=100, ax=None, return_fig=False, save=None)
Plot logFC and p-values from a long formated data-frame.
- Parameters:
- datapd.DataFrame
Results of DEA in long format.
- xstr
Column name of data storing the logFCs.
- ystr
Columns name of data storing the p-values.
- topint
Number of top differentially expressed features to show.
- sign_thrfloat
Significance threshold for p-values.
- lFCs_thrfloat
Significance threshold for logFCs.
- sign_limitfloat
Limit of p-values to plot in -log10.
- lFCs_limitfloat
Limit of logFCs to plot in absolute value.
- color_pos: str
Color to plot significant positive genes.
- color_neg: str
Color to plot significant negative genes.
- color_null: str
Color to plot rest of the genes.
- figsizetuple
Figure size.
- dpiint
DPI resolution of figure.
- axAxes, None
A matplotlib axes object. If None returns new 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, None
If return_fig, returns Figure object.