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Shao et al., scCATCH:Automatic Annotation on Cell Types of Clusters from Single-Cell RNA Sequencing Data, Volume 23, Issue 3, 27 March 2020. [doi: 10.1016/j.isci.2020.100882](https://www.sciencedirect.com/science/article/pii/S2589004220300663). PMID:[32062421](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7031312/)
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Shao et al., scCATCH:Automatic Annotation on Cell Types of Clusters from Single-Cell RNA Sequencing Data, iScience, Volume 23, Issue 3, 27 March 2020. [doi: 10.1016/j.isci.2020.100882](https://www.sciencedirect.com/science/article/pii/S2589004220300663). PMID:[32062421](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7031312/)
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# <aname='devtools'>News</a>
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<fontsize = 3>1. scCATCH can handle large single-cell transcriptomic dataset containing more than __10,000 cells__ and more than __15 clusters.__</font>
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