Bayesian inference of RNA velocity incorporating timepoints, lineage bifurcations, and count data.
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| Title: | Bayesian inference of RNA velocity incorporating timepoints, lineage bifurcations, and count data. |
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| Authors: | Gu Y; Department of Electrical and Computer Engineering, University of Michigan, Ann Arbor, Michigan, United States of America., Song Y; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, United States of America., Blaauw D; Department of Electrical and Computer Engineering, University of Michigan, Ann Arbor, Michigan, United States of America.; Department of Computer Science and Engineering, University of Michigan, Ann Arbor, Michigan, United States of America., Welch JD; Department of Computer Science and Engineering, University of Michigan, Ann Arbor, Michigan, United States of America.; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, United States of America. |
| Source: | PLoS computational biology [PLoS Comput Biol] 2026 Mar 20; Vol. 22 (3), pp. e1014060. Date of Electronic Publication: 2026 Mar 20 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1553-7358 |
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| DOI: | 10.1371/journal.pcbi.1014060 |
