tomodrgn.analysis.run_pca#
- run_pca(z: ndarray, verbose: bool = True) tuple[ndarray, PCA] [source]#
Run principal component analysis on the latent embeddings.
- Parameters:
z – array of latent embeddings, shape (nptcls, zdim)
verbose – if True, log additional information to STDOUT
- Returns:
tuple of principal-component-transformed latent embeddings and the fit sklearn PCA object