scgenome.tl.pca_loadings

scgenome.tl.pca_loadings(adata, layer=None, n_components=None, random_state=100)

Compute PCA loadings matrix

Parameters:

• adata (AnnData) – Copy number or other cell matrix

• layer (str, optional) – layer to use, by default None, use .X

• n_components (int, optional) – sklearn.decomposition.PCA n_components parameter, by default None

• random_state (int, optional) – sklearn.decomposition.PCA random_state parameter, by default 100

Returns:

dataframe of pca loadings (rows) by cell (columns)

Return type:

DataFrame