API reference

Import the package as:

import campmc as cp

Symbol	Role
campmc.preprocess()	Preprocessing (filter, normalize, HVG, PCA)
campmc.partition()	Metacell partitioning (CAMP1–4)
campmc.mt	Quality, sizes, and rare-type recovery
campmc.pl	Plotting helpers

Minimal example

Runnable examples are on each API function page. A typical flow:

import campmc as cp
import scanpy as sc
adata = sc.datasets.pbmc68k_reduced()
cp.partition(adata, method="camp3", gamma=50, random_state=0)
cp.mt.quality(adata, partition_key="camp", label_key="louvain").head()

	metacell_id	size	compactness	separation	sc_ratio	INV	purity	label_entropy
0	seed0-50-__all__	65	-0.001010	0.140312	4.415655	30.340631	0.984615	0.114676
1	seed1-50-__all__	34	-0.000305	0.181345	10.381738	17.158705	0.911765	0.511578
2	seed10-50-__all__	3	-0.000724	0.063904	2.374693	5.376963	0.666667	0.918296
3	seed11-50-__all__	158	-0.000695	0.074471	2.823893	32.220764	0.708861	0.945308
4	seed12-50-__all__	42	-0.000890	0.048984	1.641697	26.113123	0.809524	0.884264

For raw counts, call campmc.preprocess() before partitioning. See the User guide for method choice and AnnData keys.