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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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Bibliografski detalji
Izdano u:BMC Bioinformatics
Glavni autori: Dong, Rui, Yuan, Guo-Cheng
Format: Artigo
Jezik:Inglês
Izdano: BioMed Central 2020
Teme:
Online pristup: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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