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scCATCH: Automatic Annotation on Cell Types of Clusters from Single-Cell RNA Sequencing Data
Recent advancements in single-cell RNA sequencing (scRNA-seq) have facilitated the classification of thousands of cells through transcriptome profiling, wherein accurate cell type identification is critical for mechanistic studies. In most current analysis protocols, cell type-based cluster annotati...
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| Publicado no: | iScience |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Elsevier
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7031312/ https://ncbi.nlm.nih.gov/pubmed/32062421 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.isci.2020.100882 |
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