利用贝叶斯分层模型从宏基因组数据推断环境因素—微生物和微生物—微生物作用（英文）  

Inference of Environmental Factor-Microbe and Microbe-Microbe Associations from Metagenomic Data Using a Hierarchical Bayesian Statistical Model

作　　者：Yuqing Yang 陈宁[2] 陈挺 

机构地区：[1]不详 [2]清华大学生物信息学部/合成与系统生物学中心 [3]清华大学计算机科学与技术系

出　　处：《科学新闻》2018年第4期121-121,共1页Science News

摘　　要：文章简介The inference of associations between environmental factors and microbes and among microbes is critical to interpreting metagenomic data,but compositional bias,indirect associations resulting from common factors,and variance within metagenomic sequencing data limit the discovery of associations.To account for these problems,The inference of associations between environmental factors and microbes and among microbes is critical to interpreting metagenomic data,but compositional bias,indirect associations resulting from common factors,and variance within metagenomic sequencing data limit the discovery of associations.

关 键 词：贝叶斯 分层模型 基因组 微生物 

分 类 号：O212.1[理学—概率论与数理统计]