罕见细胞类型检测

Rare Cell Type Detection.

作者信息

Jiang Lan

机构信息

Howard Hughes Medical Institute, Boston Children's Hospital, Boston, MA, USA.

Program in Cellular and Molecular Medicine, Boston Children's Hospital, Boston, MA, USA.

出版信息

Methods Mol Biol. 2019;1935:79-89. doi: 10.1007/978-1-4939-9057-3_5.

DOI:10.1007/978-1-4939-9057-3_5

PMID:30758820

Abstract

High-throughput single-cell technologies have great potential to discover new cell types. Here, we present a novel computational method, called GiniClust (Jiang et al., Genome Biol 17(1):144, 2016), to overcome the challenge of detecting rare cell types that are distinct from a large population.

摘要

高通量单细胞技术在发现新细胞类型方面具有巨大潜力。在此，我们提出了一种名为GiniClust的新型计算方法（Jiang等人，《基因组生物学》17(1):144，2016），以克服检测与大量细胞群体不同的稀有细胞类型的挑战。