spateo.tdr.models.models_backbone.backbone_utils#
Module Contents#
Functions#
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Find the closest principal tree node to any point in the model through KDTree. |
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Find the closest principal tree node to any point in the model through KDTree. |
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- spateo.tdr.models.models_backbone.backbone_utils.map_points_to_backbone(model: pyvista.PolyData | pyvista.UnstructuredGrid, backbone_model: pyvista.PolyData, nodes_key: str = 'nodes', key_added: str | None = 'nodes', inplace: bool = False, **kwargs)[source]#
Find the closest principal tree node to any point in the model through KDTree.
- Parameters:
- model
The reconstructed model.
- backbone_model
The constructed backbone model.
- nodes_key
The key that corresponds to the coordinates of the nodes in the backbone.
- key_added
The key under which to add the nodes labels.
- inplace
Updates model in-place.
- **kwargs
Additional parameters that will be passed to
scipy.spatial.KDTree.function.
- Returns:
model.point_data[key_added], the nodes labels array.
- Return type:
A model, which contains the following properties
- spateo.tdr.models.models_backbone.backbone_utils.map_gene_to_backbone(model: pyvista.PolyData | pyvista.UnstructuredGrid, tree: pyvista.PolyData, key: str | list, nodes_key: str | None = 'nodes', inplace: bool = False)[source]#
Find the closest principal tree node to any point in the model through KDTree.
- Parameters:
- model
A reconstructed model contains the gene expression label.
- tree
A three-dims principal tree model contains the nodes label.
- key
The key that corresponds to the gene expression.
- nodes_key
The key that corresponds to the coordinates of the nodes in the tree.
- inplace
Updates tree model in-place.
- Returns:
tree.point_data[key], the gene expression array.
- Return type:
A tree, which contains the following properties