Revealing Potential Diagnostic Gene Biomarkers Associated with Immune Infiltration in Patients with Renal Fibrosis Based on Machine Learning Analysis.

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第一作者： Yu-Chao,Sun

第一单位： Department of Clinical Medicine Research Center, The Fourth Affiliated Hospital, International Institutes of Medicine, Zhejiang University School of Medicine, Yiwu 322000, China.

作者： Yu-Chao,Sun ^[1] ; Zhen-Zhen,Qiu ^[2] ; Fu-Li,Wen ^[3] ; Jin-Quan,Yin ^[4] ; Hao,Zhou ^[5]

作者单位： Department of Clinical Medicine Research Center, The Fourth Affiliated Hospital, International Institutes of Medicine, Zhejiang University School of Medicine, Yiwu 322000, China. ^[1] Department of Physical Education, Minjiang University, Fuzhou 350108, China. ^[2] Laboratory of Basic Medicine, 900 Hospital of the Joint Logistics Team, PLA, Fuzhou 350025, China. ^[3] Research Center, Bell Biotechnology Co, Changsha, Hunan, China. ^[4] Department of Urology, The Fourth Affiliated Hospital, International Institutes of Medicine, Zhejiang University School of Medicine, Yiwu 322000, China. ^[5]

主题词数据库, 事实型(Databases, Factual);女(雌)性(Female);纤维化(Fibrosis);人类(Humans);肾疾病(Kidney Diseases);白细胞计数(Leukocyte Count);男(雄)性(Male)

DOI 10.1155/2022/3027200

PMID 35497880

发布时间 2022-07-16

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Journal of immunology research

2022年2022卷

3027200页

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Revealing Potential Diagnostic Gene Biomarkers Associated with Immune Infiltration in Patients with Renal Fibrosis Based on Machine Learning Analysis.

Journal of immunology research

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Journal of immunology research

相关期刊

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Revealing Potential Diagnostic Gene Biomarkers Associated with Immune Infiltration in Patients with Renal Fibrosis Based on Machine Learning Analysis.

Journal of immunology research

相似文献

Journal of immunology research

相关期刊

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