pyCellPhenoX

• Functions
  • pyCellPhenoX.marker_discovery module
    • marker_discovery()
  • pyCellPhenoX.neighborhoodAbundanceMatrix module
  • pyCellPhenoX.nonnegativeMatrixFactorization module
    • nonnegativeMatrixFactorization()
  • pyCellPhenoX.plot_interpretablescore_boxplot module
  • pyCellPhenoX.plot_interpretablescore_umap module
  • pyCellPhenoX.preprocessing module
    • preprocessing()
  • pyCellPhenoX.principalComponentAnalysis module
    • principalComponentAnalysis()
• CellPhenoX Module
  • CellPhenoX Class
    • CellPhenoX
      • CellPhenoX.__init__()
      • CellPhenoX.get_best_model()
      • CellPhenoX.get_best_score()
      • CellPhenoX.get_interpretable_score()
      • CellPhenoX.get_model_training_time()
      • CellPhenoX.get_prc_curves()
      • CellPhenoX.get_roc_curves()
      • CellPhenoX.get_shap_values()
      • CellPhenoX.get_shap_values_per_cv()
      • CellPhenoX.model_training_shap_val()
      • CellPhenoX.shap_values_explainer()
      • CellPhenoX.split_data()
• pyCellPhenoX utilities
  • pyCellPhenoX.utils.balanced_sample module
    • balanced_sample()
  • pyCellPhenoX.utils.check_indices module
    • check_indices()
  • pyCellPhenoX.utils.reducedim module
    • reduceDim()
  • pyCellPhenoX.utils.select_num_components module
    • select_number_of_components()
  • pyCellPhenoX.utils.select_optimal_k module
    • select_optimal_k()