RNA velocity unraveled
Gennady Gorin, Meichen Fang, Tara Chari, Lior Pachter
Abstract
We perform a thorough analysis of RNA velocity methods, with a view towards understanding the suitability of the various assumptions underlying popular implementations. In addition to providing a self-contained exposition of the underlying mathematics, we undertake simulations and perform controlled experiments on biological datasets to assess workflow sensitivity to parameter choices and underlying biology. Finally, we argue for a more rigorous approach to RNA velocity, and present a framework for Markovian analysis that points to directions for improvement and mitigation of current problems.
Topics & Concepts
WorkflowImplementationSensitivity (control systems)Computer scienceTheoretical computer scienceExposition (narrative)Data scienceSoftware engineeringEngineeringDatabaseArtLiteratureElectronic engineeringSingle-cell and spatial transcriptomicsGene Regulatory Network AnalysisGene expression and cancer classification