svgbit.core.density.hotspot_AI

svgbit.core.density.hotspot_AI(hotspot_df: pandas.core.frame.DataFrame, weight_df: pandas.core.frame.DataFrame, knn: Union[pandas.core.frame.DataFrame, libpysal.weights.weights.W], cores: int = 2) → Tuple[pandas.core.series.Series, pandas.core.frame.DataFrame]

Calculate Spatial Transcriptomics AI value for all genes.

Parameters

hotspot_dfpd.DataFrame

A hotspot DataFrame generated by svgbit.

weight_dfpd.DataFrame

Weight used by AI. In default, svgbit uses local Moran’s I p value as weight.

knnpd.DataFrame or libpysal.weights.W

KNN network used for neighbor idenfication.

coresint

Number of threads to run svgbit. Use all available cpus by default.

Returns

ai_seriespd.Series

A Series for AI value.

di_dfpd.DataFrame

A DataFrame for local Di value.