dynamo.pp.normalize_layers_pearson_residuals

dynamo.pp.normalize_layers_pearson_residuals(adata, layers=['X'], select_genes_layer='X', select_genes_key='use_for_pca', copy=False, **normalize_pearson_residual_args)

Normalize the given layers of the AnnData object using Pearson residuals.

Parameters:

• adata (AnnData) – AnnData object to normalize.

• layers (list) – the list of layers to normalize.

• select_genes_layer – the layer to select highly variable genes.

• select_genes_key – the key to use for selecting highly variable genes.

• copy – Whether to create a copy of the AnnData object before editing it.

• **normalize_pearson_residual_args – Additional arguments to pass to the _normalize_single_layer_pearson_residuals function.

Return type:

None

Returns:

None. Anndata object will be updated.