SOAPy_st.tl.global_moran

SOAPy_st.tl.global_moran(adata: AnnData, score_labels: list | str | None = None, k: int = 6, scale: str | float = 'hires', spatial_in_obsm: str = 'spatial', inplace: bool = True) → AnnData

The global Moran index is calculated based on selected genes or indicators such as AUCell score.

Parameters

adataanndata.AnnData

An AnnData object containing spatial omics data and spatial information.

score_labelsstr

The label or label lists for the Moran index need to be computed. It could be gene name in adata.uns_names or in adata.uns[‘SOAPy’][‘aucell’] (the result of cal_aucell()).

kint, optional

Number of nearest neighbors in KNN

scaleUnion[str, float], optional

The scaling factor for distance scaling. If it’s Visium data it can also be HE image labels (hires or lower). Most of the time you don’t need to change this.

spatial_in_obsmstr, optional

Keyword of coordinate information in obsm.

inplacebool, optional

Whether to change the original adata.

Returns

• anndata.AnnData.uns ['SOAPy']['global_moran'] - Global Moran information for each keyword