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bayNorm: Bayesian gene expression recovery, imputation and normalization for single-cell RNA-sequencing data
MOTIVATION: Normalization of single-cell RNA-sequencing (scRNA-seq) data is a prerequisite to their interpretation. The marked technical variability, high amounts of missing observations and batch effect typical of scRNA-seq datasets make this task particularly challenging. There is a need for an ef...
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| Pubblicato in: | Bioinformatics |
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| Autori principali: | , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Oxford University Press
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7703772/ https://ncbi.nlm.nih.gov/pubmed/31584606 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btz726 |
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