CIARA:一个独立于集群的算法,用于从单细胞测序数据中识别罕见细胞类型的标记物

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A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations
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A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations

Published on: October 25, 2018

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Gabriele Lubatti1,2,3, Marco Stock1,2,3,4, Ane Iturbide1

  • 1Institute of Epigenetics and Stem Cells, Helmholtz Munich, D-81377 Munich, Germany.

Development (Cambridge, England)
|June 9, 2023
PubMed
概括

我们开发了CIARA,这是一种新的计算工具,用于使用单细胞基因组学识别罕见细胞类型. CIARA有效地检测罕见细胞群和它们的标记基因,优于现有方法.

关键词:
计算方法 计算方法罕见的细胞类型单细胞测序是一种单细胞测序.

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