phlower.tl.trajs_dm
- phlower.tl.trajs_dm(adata, evector_name: str | None = None, M_flatten: str | ndarray = 'full_traj_matrix_flatten', embedding='umap', eigen_n: int = -1, iscopy=False)
- adata: AnnData
AnnData object
- evector_name: str
the L1 decomposed eigen vectors from the graph_name, adata.uns[“graph_basis”] + “_triangulation_circle_L1Norm_decomp_vector” by default if None
- embedding: str
the embedding for visualize the clustering results, “umap” by default
- eigen_n: int
the number of eigen vectors to use, if -1, use find_knee out
- iscopy: bool
whether to return a copy of adata or not, False by default