Systemically Identifying Triple-Negative Breast Cancer Subtype-Specific Prognosis Signatures, Based on Single-Cell RNA-Seq Data.

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第一作者： Kaiyuan,Xing

第一单位： College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.

作者： Kaiyuan,Xing ^[1] ; Bo,Zhang ^[2] ; Zixuan,Wang ^[1] ; Yanru,Zhang ^[1] ; Tengyue,Chai ^[1] ; Jingkai,Geng ^[1] ; Xuexue,Qin ^[1] ; Xi Steven,Chen ^[3] ; Xinxin,Zhang ^[4] ; Chaohan,Xu ^[1]

作者单位： College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China. ^[1] Department of Pharmacology, State-Province Key Laboratories of Biomedicine-Pharmaceutics of China, Key Laboratory of Cardiovascular Medicine Research, Ministry of Education, College of Pharmacy, Harbin Medical University, Harbin 150081, China. ^[2] Department of Public Health Sciences, Division of Biostatistics, University of Miami Miller School of Medicine, Miami, FL 33136, USA. ^[3] Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL 33136, USA. ^[4]

关键词 TNBC subtype-specific prognosis signature single-cell RNA-seq

主题词人类(Humans);多元分析(Multivariate Analysis);计算生物学(Computational Biology)

DOI 10.3390/cells12030367

PMID 36766710

发布时间 2023-02-20

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2023年12卷3期

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Systemically Identifying Triple-Negative Breast Cancer Subtype-Specific Prognosis Signatures, Based on Single-Cell RNA-Seq Data.

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Systemically Identifying Triple-Negative Breast Cancer Subtype-Specific Prognosis Signatures, Based on Single-Cell RNA-Seq Data.

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