pegasus.calculate_z_score

pegasus.calculate_z_score(data, n_bins=50)[source]

Calculate the standardized z scores of the count matrix.

Parameters

data (MultimodalData, UnimodalData, or anndata.AnnData object.) – Single cell expression data.
n_bins (int, optional, default: 50) – Number of bins on expression levels for grouping genes.

Returns

A 2D numpy array of shape (n_cells, n_features), which represents the standardized z-score expression matrix.

Return type

numpy.array

Examples

>>> pg.calculate_z_score(data)
>>> pg.calculate_z_score(data, n_bins=100)