transcript_capture_efficiency

besca.pl.transcript_capture_efficiency(adata, ax=None, figsize=None)[source]

Plot total gene counts vs detection probability.

Visualize the transcript capture efficiency curve by plotting the total gene counts on the x-axis and the detection probability on the y-axis.

Parameters:

  • adata (AnnData) – AnnData object containing data that is to be visualized. Genes need to be in coloumns and cells in rows

  • ax (axes | default = None) – pass the axes class to which your figure should be added

  • figsize ((width, height) or None | default = None) – optional parameter to define the figure size of the plot that is to be generated

Returns:

the figure is displayed

Return type:

None

Example

Display transcript capture efficiency plot. >>> import besca as bc >>> import matplotlib.pyplot as plt >>> adata = bc.datasets.simulated_pbmc3k_raw() >>> fig, ax = plt.subplots(1) >>> bc.pl.transcript_capture_efficiency(adata,ax=ax)