Marker expression plot¶
This visualization function can be launched from class DigitalCellSorter at the stage of post-processing.
From submodule VisualizationFunctions:
-
class
VisualizationFunctions
(dataName='dataName', saveDir='', matplotlibMode='Agg', safePlotting=True, verbose=1)[source] Class of visualization functions for DigitalCellSorter
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makeMarkerExpressionPlot
(*args, **kwargs)[source]¶ Produce image on marker genes and their expression on all clusters. Uses files generated by function DCS.Vote
- Parameters:
- dpi: int, Default 600
Resolution of the figure image
- extension: str, Default ‘png’
Format of the figure file
- Returns:
None
- Usage:
DCS = DigitalCellSorter.DigitalCellSorter()
DCS.makeMarkerExpressionPlot()
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Example output: