svgbit.core.moran.global_moran

svgbit.core.moran.global_moran(gene_expression_df: pandas.core.frame.DataFrame, weights: libpysal.weights.weights.W, transformation: str = 'r', permutation: int = 999, cores: int = 2) → pandas.core.frame.DataFrame

Calculate global Moran’s I value.

Parameters

gene_expression_dfpd.DataFrame

Expression matrix for Spatial Transcriptomics Data.

weightslibpysal.weights.W

Spatial weight for calculating Moran’s I.

transformationstr, default ‘r’

Weights transformation passed to esda.moran.Moran

permutationint, default 999

Number of random permutations for calculation of pseudo-p_values.

coresint

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

Returns

global_moran_dfpd.DataFrame

Global Moran’s I result.