Abstract
Computational approaches can leverage single-cell snapshots to infer sequential gene expression changes during developmental processes. For example, cell trajectory inference algorithms use pairwise cell similarities to map cells onto a “pseudotime” axis corresponding to predicted developmental progress. However, trajectory inference based on similarity cannot predict the directions or relative rates of cellular transitions.
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Li, C., Virgilio, M., Collins, K.L., Welch, J.D. (2022). Single-Cell Multi-omic Velocity Infers Dynamic and Decoupled Gene Regulation. In: Pe'er, I. (eds) Research in Computational Molecular Biology. RECOMB 2022. Lecture Notes in Computer Science(), vol 13278. Springer, Cham. https://doi.org/10.1007/978-3-031-04749-7_18
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DOI: https://doi.org/10.1007/978-3-031-04749-7_18
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