Estimators enable quantitative analysis of Markov transition matrices computed using CellRank kernels, including automatic detection of initial and terminal states, and computation of fate probabilities. Our recommended estimator is cellrank.estimators.GPCCA.

estimators.GPCCA(object, **kwargs)

Generalized Perron Cluster Cluster Analysis (GPCCA) [Reuter et al., 2019, Reuter et al., 2018] as implemented in pyGPCCA.

estimators.CFLARE(object, **kwargs)

Clustering and filtering of left and right eigenvectors (CFLARE).