Others¶
prepare_svca¶
-
class
spatialtis.ext.prepare_svca(data, out_dir, entry='svca_data', **kwargs)[source]¶ Prepare data for SVCA analysis
Spatial Variance Components Analysis: SVCA
The input format is separated folder for each ROI with expressions.txt and positions.txt.
- Parameters
data (anndata._core.anndata.AnnData) – AnnData object to perform analysis
out_dir (Union[pathlib.Path, str]) – The directory to store the data
entry (str) – The name of new folder to store the data
**kwargs – Pass to
spatialtis.abc.AnalysisBase
get_result¶
-
spatialtis.get_result(adata, key, params=False)[source]¶ Read spatialtis result from AnnData.uns as pandas.DataFrame object
To get the params, use params=True
- Parameters
adata (anndata._core.anndata.AnnData) – The AnnData object for storage
key (str) – Which key in AnnData.uns you want to read
params (bool) – Whether to return parameters
- Return type
Union[DataFrame,Tuple[DataFrame,Dict]]