IKAP-Identifying K mAjor cell Population groups in single-cell RNA-sequencing analysis.

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作者： Yun-Ching,Chen ^[1] ; Abhilash,Suresh ^[1] ; Chingiz,Underbayev ^[2] ; Clare,Sun ^[2] ; Komudi,Singh ^[1] ; Fayaz,Seifuddin ^[1] ; Adrian,Wiestner ^[2] ; Mehdi,Pirooznia ^[1]

作者单位： Bioinformatics and Computational Biology Laboratory, National Heart, Lung, and Blood Institute, National Institutes of Health, 12 South Drive, Bethesda, MD 20892, USA. ^[1] Hematology Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, 10 Center Drive, Bethesda, MD 20814, USA. ^[2]

关键词 Seurat cell ontology clustering single-cell RNA-sequencing

主题词算法(Algorithms);动物(Animals);大脑皮质(Cerebral Cortex);聚类分析(Cluster Analysis);人类(Humans);白细胞, 单核(Leukocytes, Mononuclear);小鼠(Mice);序列分析, RNA(Sequence Analysis, RNA);单细胞分析(Single-Cell Analysis)

DOI 10.1093/gigascience/giz121

PMID 31574155

发布时间 2023-10-14

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2019年8卷10期

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IKAP-Identifying K mAjor cell Population groups in single-cell RNA-sequencing analysis.

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IKAP-Identifying K mAjor cell Population groups in single-cell RNA-sequencing analysis.

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