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A Bayesian framework for inter-cellular information sharing improves dscRNA-seq quantification
MOTIVATION: Droplet-based single-cell RNA-seq (dscRNA-seq) data are being generated at an unprecedented pace, and the accurate estimation of gene-level abundances for each cell is a crucial first step in most dscRNA-seq analyses. When pre-processing the raw dscRNA-seq data to generate a count matrix...
Tallennettuna:
| Julkaisussa: | Bioinformatics |
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| Päätekijät: | , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Oxford University Press
2020
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7355277/ https://ncbi.nlm.nih.gov/pubmed/32657394 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btaa450 |
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