plot_bootstrapping
Reliability status: development
Perform bootstrapping analysis on PWD distance matrices.
INPUTS: - PWD single cell maps in npy - uniquebarcode list
usage: plot_bootstrapping [-h] [-T INPUT] [-U UNIQUEBARCODES]
[-O OUTPUTFOLDER] [--fontsize FONTSIZE]
[--axisLabel] [--cMin CMIN] [--cMax CMAX]
[--cMin_std CMIN_STD] [--cMax_std CMAX_STD]
[--plottingFileExtension PLOTTINGFILEEXTENSION]
[--shuffle SHUFFLE] [--cmap CMAP]
[--cmap_std CMAP_STD] [--N_bootstrap N_BOOTSTRAP]
Named Arguments
- -T, --input
Filename of single-cell PWD matrices in Numpy
- -U, --uniqueBarcodes
csv file with list of unique barcodes
- -O, --outputFolder
Folder for outputs
- --fontsize
Size of fonts to be used in matrix
- --axisLabel
Use if you want a label in x and y
Default:
False- --cMin
Colormap min scale. Default: 0
- --cMax
Colormap max scale. Default: automatic
- --cMin_std
Colormap min scale for std map. Default: 0
- --cMax_std
Colormap max scale for std map. Default: automatic
- --plottingFileExtension
By default: png. Other options: svg, pdf, png
- --shuffle
Provide shuffle vector: 0,1,2,3… of the same size or smaller than the original matrix. No spaces! comma-separated!
- --cmap
Colormap. Default: coolwarm
- --cmap_std
Colormap for std map. Default: coolwarm
- --N_bootstrap
Number of bootstrapping cycles. Default=9999
Example
plot_bootstrapping --input Trace_Trace_all_ROIs_filtered_beta_mask0_exp_ND_1_PDX1LR_Matrix_PWDscMatrix.npy -U Trace_Trace_all_ROIs_filtered_exocrine_mask0_exp_ND_3_PDX1LR_Matrix_uniqueBarcodes.ecsv --N_bootstrap 100