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A statistical framework for differential pseudotime analysis with multiple single-cell RNA-seq samples
Pseudotime analysis with single-cell RNA-sequencing (scRNA-seq) data has been widely used to study dynamic gene regulatory programs along continuous biological processes. While many computational methods have been developed to infer the pseudo-temporal trajectories of cells within a biological sampl...
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| Wydane w: | bioRxiv |
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| Główni autorzy: | , , , , , |
| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
Cold Spring Harbor Laboratory
2021
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| Hasła przedmiotowe: | |
| Dostęp online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8288148/ https://ncbi.nlm.nih.gov/pubmed/34282418 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1101/2021.07.10.451910 |
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