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|Downloads| |CI| |Docs| |Codecov| |Discourse|\n\nCellRank 2: Unified fate mapping in multiview single-cell data\n==============================================================\n.. image:: docs/_static/img/light_mode_overview.png#gh-light-mode-only\n    :width: 600px\n    :align: center\n    :class: only-light\n\n.. image:: docs/_static/img/dark_mode_overview.png#gh-dark-mode-only\n    :width: 600px\n    :align: center\n\n**CellRank** is a modular framework to study cellular dynamics based on Markov state modeling of\nmulti-view single-cell data. 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(2018): https://doi.org/10.1038/s41586-018-0414-6\n.. _Bergen et al. (2020): https://doi.org/10.1038/s41587-020-0591-3\n.. _Reuter et al. (2018): https://doi.org/10.1021/acs.jctc.8b00079\n\n.. _scverse: https://scverse.org/\n.. _pyGPCCA: https://github.com/msmdev/pyGPCCA\n\n.. _CellRank 1: https://www.nature.com/articles/s41592-021-01346-6\n.. _CellRank 2 manuscript: https://doi.org/10.1038/s41592-024-02303-9\n.. _documentation: https://cellrank.org\n\n.. _issue: https://github.com/theislab/cellrank/issues/new/choose\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftheislab%2Fcellrank","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftheislab%2Fcellrank","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftheislab%2Fcellrank/lists"}