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贝叶斯通用线性模型用于通过EM算法分析组合和亚组合微生物组数据

Li Zhang1, Zhenying Ding2, Jinhong Cui2

  • 1Biostatistics and Bioinformatics Facility, Fox Chase Cancer Center, Philadelphia, Pennsylvania, USA.

Statistics in medicine
|April 14, 2025
PubMed
概括

我们开发了一种贝叶斯概括线性模型来分析微生物组数据,提高准确性并减少高维设置中的预测错误. 这种方法有助于识别微生物与炎症性肠病 (IBD) 等疾病的联系.

关键词:
贝叶斯的GLMs是贝叶斯的GLMs.在EM算法中,EM算法组合数据是指组合数据的组成数据.微生物组是一个微生物组.尖石和石的先行者们总和为零的约束.

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