Skip to main content
Back to top
Ctrl
+
K
patpy
General
Installation
API
Preprocessing:
pp
patpy.pp.prepare_data_for_phemd
patpy.pp.convert_cell_types_to_phemd_format
patpy.pp.calculate_compositional_metrics
patpy.pp.calculate_cell_qc_metrics
patpy.pp.calculate_n_cells_per_sample
patpy.pp.filter_small_samples
patpy.pp.filter_small_cell_groups
patpy.pp.subsample
patpy.pp.is_count_data
patpy.pp.fill_nan_distances
Tools:
tl
patpy.tl.PILOT
patpy.tl.GroupedPseudobulk
patpy.tl.CellGroupComposition
patpy.tl.MrVI
patpy.tl.RandomVector
patpy.tl.SCPoli
patpy.tl.Pseudobulk
patpy.tl.WassersteinTSNE
patpy.tl.SampleRepresentationMethod
patpy.tl.describe_metadata
patpy.tl.test_distances_significance
patpy.tl.predict_knn
patpy.tl.evaluate_prediction
patpy.tl.test_proportions
patpy.tl.evaluate_representation
Plotting:
pl
Contributing guide
Changelog
References
Gallery
Tutorials
Using sample representation methods
Patient trajectory analysis
Synthetic data generation
Statistical test for the distances between samples from case and control groups
About
GitHub
.md
.pdf
Plotting: pl
Plotting:
pl
#
