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MISC: missing imputation for single-cell RNA sequencing data
BACKGROUND: Single-cell RNA sequencing (scRNA-seq) technology provides an effective way to study cell heterogeneity. However, due to the low capture efficiency and stochastic gene expression, scRNA-seq data often contains a high percentage of missing values. It has been showed that the missing rate...
Tallennettuna:
| Julkaisussa: | BMC Syst Biol |
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| Päätekijät: | , , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
BioMed Central
2018
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6293493/ https://ncbi.nlm.nih.gov/pubmed/30547798 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12918-018-0638-y |
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