Evaluation of methods to assign cell type labels to cell clusters from single-cell RNA-sequencing data [version 3; peer review: 2 approved, 1 approved with reservations]

Evaluation of methods to assign cell type labels to cell clusters from single-cell RNA-sequencing data [version 3; peer review: 2 approved, 1 approved with reservations]
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发表时间:
2021
期刊:
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通讯作者:
J. Díaz-Mejía;E. Meng;Alexander R. Pico;S. Macparland;T. Ketela;Trevor J Pugh;Gary D Bader;J. Morris
J. Díaz-Mejía;E. Meng;Alexander R. Pico;S. Macparland;T. Ketela;Trevor J Pugh;Gary D Bader;J. Morris
中科院分区:
其他
文献类型:
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作者:
J. Díaz-Mejía;E. Meng;Alexander R. Pico;S. Macparland;T. Ketela;Trevor J Pugh;Gary D Bader;J. Morris

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背景:使用单细胞rna测序(scRNA-seq)数据从复杂细胞混合物中识别细胞类型亚群包括从正常化到自动化步骤。
Background: Identification of cell type subpopulations from complex cell mixtures using single-cell RNA-sequencing (scRNA-seq) data includes automated steps from normalization