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利用互补的多主题数据整合方法,以获得脏疾病的机械洞察力

Fadhl Alakwaa1, Vivek Das2, Arindam Majumdar3

  • 1Department of Internal Medicine, Division of Nephrology, University of Michigan, Ann Arbor, Michigan, USA.

JCI insight
|March 10, 2025
PubMed
概括

整合多omics数据揭示了关键的尿蛋白和与慢性病 (CKD) 进展相关的途径. 这种方法有助于理解CKD机制,并确定潜在的治疗点.

关键词:
慢性脏疾病 慢性脏疾病表达方式的分析.腎臟病學 (nephrology) 是一種醫學專業.蛋白质组学是指蛋白质组学.

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