t-test 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

makeTtestPlot(*args, **kwargs)[source]

Produce heatmap plot of t-test p-Values calculated gene-pair-wise from the annotated clusters.

Parameters:
df: pandas.DataFrame

t-test statistic values

dfp: pandas.DataFrame

t-test p-Values calculated gene-pair-wise

label: str, Default None

Lebel to include in the plot

reorder: boolean, Default True

Reorder values to group similar

p_value_cutoff: float, Default 0.05

p-Value cutoff

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.makeTtestPlot(df)

Example output:

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