【摘要】：人體微生物組對人體健康和疾病起著重要作用.高通量測序技術(shù)的發(fā)展使得我們可以定量分析微生物組中所有菌種的成分.本文回顧近來在微生物組學研究中的高維計數(shù)和成分數(shù)據(jù)分析方法,其中包括Dirichlet多項分布模型及其拓展、從大維稀疏計數(shù)矩陣估計成分數(shù)據(jù)、高維成分回歸和基于對數(shù)基底的成分數(shù)據(jù)統(tǒng)計推斷方法.
[Abstract]:Microorganism plays an important role in human health and disease. The development of high-throughput sequencing technology has made it possible to quantify the composition of all microbes. In this paper, we review the recent methods of high-dimensional counting and component data analysis in microflora, including the Dirichlet multi-term distribution model and its extension, and estimate the component data from the large dimensional sparse counting matrix. High dimensional component regression and statistical inference method based on logarithmic basis.
【作者單位】： 北京大學數(shù)學科學學院;北京大學定量生物學中心;北京大學統(tǒng)計科學中心;
【基金】：國家重大科學研究計劃(批準號:2015CB910303) 國家重點研發(fā)計劃(批準號:2016YFA0502303) 國家自然科學基金(批準號:31471246)資助項目
【分類號】：O212;Q933
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本文編號：2126436