Towards reliable quantification of cell state velocities

• DOI: 10.1371/journal.pcbi.1010031
• Publication Date: 2022-09-28T18:35:22Z
• Authors: Valérie Marot-Las...; Brigitte Joanne B...; Fearghal Declan D...; Yasmin Demerdash; Marieke Alida Ger...; Laleh Haghverdi
• Keywords: Data set

A few years ago, it was proposed to use the simultaneous quantification of unspliced and spliced messenger RNA (mRNA) add a temporal dimension high-throughput snapshots single cell sequencing data. This concept can yield additional insight into transcriptional dynamics biological systems under study. However, current methods for inferring state velocities from such data (known as velocities) are afflicted by several theoretical computational problems, hindering realistic reliable velocity estimation. We discuss these issues propose new solutions addressing some challenges in consistency processing, inference visualisation. translate our conclusion two analysis tools: one detailed method κ-velo heuristic eco-velo, each which uses different set assumptions about