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Impact of data preprocessing on cell-type clustering based on single-cell RNA-seq data
BACKGROUND: Advances in single-cell RNA-seq technology have led to great opportunities for the quantitative characterization of cell types, and many clustering algorithms have been developed based on single-cell gene expression. However, we found that different data preprocessing methods show quite...
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| Wydane w: | BMC Bioinformatics |
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| Główni autorzy: | , , |
| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
BioMed Central
2020
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| Hasła przedmiotowe: | |
| Dostęp online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7541255/ https://ncbi.nlm.nih.gov/pubmed/33028196 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-020-03797-8 |
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