scLodestar: Scalable probabilistic clustering of single cells in a continuous probability space
scLodestar is a scalable, high-performance framework that models single-cell data as continuous probability distributions over landmark states, enabling principled uncertainty quantification, the discovery of transitional cell populations, and efficient processing of millions of cells without the limitations of discrete hard clustering.