HoloNet.plotting.delta_e_proportion#
- HoloNet.plotting.delta_e_proportion(trained_MGC_model_list, X, adj, cell_type_names, palette=None, fname=None, display=True, low_ylim=None, high_ylim=None, **kwargs)#
Plotting the proportion of delta_e in the sum of delta_e and e_0 in each cell-type.
- Parameters
- trained_MGC_model_list
List[MGC_Model] A list of trained MGC model for generating the expression of one target gene.
- X
Tensor The feature matrix used as the input of the trained_MGC_model_list.
- adj
Tensor The adjacency matrix used as the input of the trained_MGC_model_list.
- cell_type_names
List[str] The list of cell-type names.
- palette
dict|NoneOptional[dict] (default:None) The color dict for each cell-type.
- fname
str|Path|NoneUnion[str,Path,None] (default:None) The output file name. If None, not save the figure.
- display
bool(default:True) If False, not plot the figure.
- low_ylim
float|NoneOptional[float] (default:None) The low boundary of y axis.
- high_ylim
float|NoneOptional[float] (default:None) The high boundary of y axis.
- kwargs
Other parameters in seaborn.barplot
- trained_MGC_model_list
- Return type
- Returns
: The dataframe containing the proportion of delta_e in the sum of delta_e and e_0 in each cell-type.