Preprocessing

Convenience pipeline that prepares count data for partitioning: cell/gene filters, total-count normalization, log1p, HVG selection, scaling, and PCA. After a successful run, adata.obsm['X_pca'] is ready for campmc.partition().

Skip preprocessing when PCA is already present (e.g. Scanpy’s reduced demo datasets). See campmc.preprocess() for a runnable example.

preprocess

Filter, normalize, select HVGs, and compute PCA.