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GiniClust3: a fast and memory-efficient tool for rare cell type identification
BACKGROUND: With the rapid development of single-cell RNA sequencing technology, it is possible to dissect cell-type composition at high resolution. A number of methods have been developed with the purpose to identify rare cell types. However, existing methods are still not scalable to large dataset...
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| Опубликовано в: : | BMC Bioinformatics |
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| Главные авторы: | , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
BioMed Central
2020
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7183612/ https://ncbi.nlm.nih.gov/pubmed/32334526 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-020-3482-1 |
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