spac.transformations.normalize_features(adata, low_quantile=0.02, high_quantile=0.98, interpolation='linear', input_layer=None, output_layer='normalized_feature', per_batch=False, annotation=None)

Normalize the features stored in an AnnData object. Any entry lower than the value corresponding to low_quantile of the column will be assigned a value of low_quantile, and entry that are greater than high_quantile value will be assigned as the value of high_quantile. Other entries will be normalized with (values - quantile min)/(quantile max - quantile min). Resulting column will have value ranged between [0, 1].