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A comparison of automatic cell identification methods for single-cell RNA sequencing data
BACKGROUND: Single-cell transcriptomics is rapidly advancing our understanding of the cellular composition of complex tissues and organisms. A major limitation in most analysis pipelines is the reliance on manual annotations to determine cell identities, which are time-consuming and irreproducible....
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| Publicado no: | Genome Biol |
|---|---|
| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6734286/ https://ncbi.nlm.nih.gov/pubmed/31500660 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13059-019-1795-z |
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