CRAK-Velo: Chromatin Accessibility Kinetics integration improves RNA Velocity estimation
Nour El KazwiniiD, Mingze GaoiD, Idris Kouadri BoudjelthiaiD, Fangxin Cai, Yuanhua HuangiD, Guido SanguinettiiD
Abstract
RNA velocity has recently emerged as a key tool in the analysis of single-cell transcriptomic data, yet connecting RNA velocity analyses to underlying regulatory processes has proved challenging. Here we propose CRAK-Velo, a semi-mechanistic model which integrates chromatin accessibility data in the estimation of RNA velocities. CRAK-Velo provides biologically consistent estimates of developmental flows and enables accurate cell-type deconvolution, while additionally shining light on regulatory processes at the level of interactions between genes and chromatin regions.
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