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GiniClust: detecting rare cell types from single-cell gene expression data with Gini index

High-throughput single-cell technologies have great potential to discover new cell types; however, it remains challenging to detect rare cell types that are distinct from a large population. We present a novel computational method, called GiniClust, to overcome this challenge. Validation against a b...

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Bibliografski detalji
Izdano u:Genome Biol
Glavni autori: Jiang, Lan, Chen, Huidong, Pinello, Luca, Yuan, Guo-Cheng
Format: Artigo
Jezik:Inglês
Izdano: BioMed Central 2016
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC4930624/
https://ncbi.nlm.nih.gov/pubmed/27368803
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13059-016-1010-4
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