Towards reliable quantification of cell state velocities

Data set
DOI: 10.1371/journal.pcbi.1010031 Publication Date: 2022-09-28T18:35:22Z
ABSTRACT
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
SUPPLEMENTAL MATERIAL
Coming soon ....
REFERENCES (33)
CITATIONS (20)
EXTERNAL LINKS
PlumX Metrics
RECOMMENDATIONS
FAIR ASSESSMENT
Coming soon ....
JUPYTER LAB
Coming soon ....