Identification of key immune genes of osteoporosis based on bioinformatics and machine learning.

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作者： Song,Hao ^[1] ; Mao,Xinqi ^[2] ; Xu,Weicheng ^[1] ; Yang,Shiwei ^[1] ; Cao,Lumin ^[1] ; Wang,Xiao ^[1] ; Liu,Dong ^[1] ; Hua,Jun ^[1]

作者单位： Department of Orthopaedics, The Second Affiliated Hospital of Soochow University, Suzhou, China. ^[1] Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China. ^[2]

关键词 MSVM-RFE bioinformatics diagnostic markers immunology osteoporosis

主题词女(雌)性(Female);人类(Humans);白细胞, 单核(Leukocytes, Mononuclear);磷酸肌醇3-激酶类(Phosphatidylinositol 3-Kinases);骨质疏松(Osteoporosis);计算生物学(Computational Biology);细胞因子类(Cytokines)

DOI 10.3389/fendo.2023.1118886

PMID 37361541

发布时间 2023-07-01

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Frontiers in endocrinology

2023年14卷

1118886页

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Identification of key immune genes of osteoporosis based on bioinformatics and machine learning.

Frontiers in endocrinology

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Frontiers in endocrinology

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Identification of key immune genes of osteoporosis based on bioinformatics and machine learning.

Frontiers in endocrinology

相似文献

Frontiers in endocrinology

相关期刊

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