机器学习:用于识别与特定癌症类型相关的关键微生物代理的强大工具.
Jia Feng1, Kailan Yang1, Xuexue Liu1
1Department of Laboratory Medicine, The Affiliated Hospital of Southwest Medical University, Sichuan Province Engineering Technology Research Center of Molecular Diagnosis of Clinical Diseases, Molecular Diagnosis of Clinical Diseases Key Laboratory of Luzhou, Sichuan, China.
PeerJ
|October 30, 2023
概括
机器学习 (ML) 通过分析复杂的宿主-微生物相互作用来帮助癌症微生物组学研究. 这种方法对于开发有针对性的微生物疗法和推进个性化癌症医学至关重要.
科学领域:
- 微生物组研究的研究.
- 计算生物学是一种计算生物学.
- 癌症基因组学 癌症基因组学
背景情况:
- 微生物群落影响癌症的发展,进展和治疗反应.
- 主体-微生物相互作用是瘤发生的一个关键途径.
- 高通量数据需要先进的分析方法.
结论:
- 癌症微生物组学研究严重依赖于ML的进步.
- ML有助于开发新的瘤向微生物疗法.
- ML有助于实现个性化和精确的癌症医学.
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