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Unraveling causal gene regulation from the RNA velocity graph using Velorama
[article]
2022
bioRxiv
pre-print
AbstractGene regulatory network (GRN) inference that incorporates single-cell RNA-seq (scRNA-seq) differentiation trajectories or RNA velocity can reveal causal links between transcription factors and their target genes. However, current GRN inference methods require a total ordering of cells along a linear pseudotemporal axis, which is biologically inappropriate since trajectories with branches cannot be reduced to a single time axis. Such orderings are especially difficult to derive from RNA
doi:10.1101/2022.10.18.512766
fatcat:5754w7r2nje73oulwrvnajdiwm