CellRank 2: unified fate mapping in multi-view single-cell data via Markov state modeling. Computes cell-cell transition matrices from RNA velocity, pseudotime, experimental time points, and similarity kernels; identifies initial/terminal/intermediate macrostates; infers fate probabilities and lineage driver genes; and visualizes/clusters gene expression trends along lineages.