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Updated: Jul 16, 2025

Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing
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使用基于序列的机器学习分析对人类微生物组进行克罗恩病预测.

Metehan Unal1, Erkan Bostanci1, Ceren Ozkul2

  • 1Department of Computer Engineering, Ankara University, 06830 Ankara, Turkey.

Diagnostics (Basel, Switzerland)
|September 9, 2023
PubMed
概括

机器学习模型可以从人类微生物群序列数据中预测炎症性肠病. 光梯度增强机模型表现最好,证明了早期疾病检测的潜力.

关键词:
机器学习 机器学习生物信息学是一种生物信息学.肠道疾病是一种肠道疾病.我们的微生物群.

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Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...
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