pegasus.reduce_diffmap_to_3d

pegasus.reduce_diffmap_to_3d(data, random_state=0)[source]

Reduce high-dimensional Diffusion Map matrix to 3-dimentional.

Parameters

data (pegasusio.MultimodalData) – Annotated data matrix with rows for cells and columns for genes.

random_state: int, optional, default: 0

Random seed set for reproducing results.

Return type

None

Returns

  • None

  • Update data.obsm –

    • data.obsm["X_diffmap_pca"]: 3D Diffusion Map matrix of data.

Examples

>>> pg.reduce_diffmap_to_3d(data)