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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7031312/ https://www.ncbi.nlm.nih.gov/pubmed/32062421 http://dx.doi.org/10.1016/j.isci.2020.100882 |