Mixtures of logistic normal multinomial regression models for microbiome data

IF 1.2 4区数学 Q2 STATISTICS & PROBABILITY

Journal of Applied Statistics Pub Date : 2024-08-01 DOI:10.1080/02664763.2024.2383286

Wenshu Dai, Yuan Fang, Sanjeena Subedi

引用次数: 0

Abstract

In the realm of bioinformatics, we frequently encounter discrete data, particularly microbiome taxa count data obtained through 16S rRNA sequencing. These microbiome datasets are commonly character...

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微生物组数据的逻辑正态多项式回归模型混合物

在生物信息学领域，我们经常会遇到离散数据，特别是通过 16S rRNA 测序获得的微生物组分类群计数数据。这些微生物组数据集通常具有以下特征...

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Applied Statistics 数学-统计学与概率论

CiteScore

3.40

自引率

0.00%

发文量

126

审稿时长

6 months

期刊介绍： Journal of Applied Statistics provides a forum for communication between both applied statisticians and users of applied statistical techniques across a wide range of disciplines. These areas include business, computing, economics, ecology, education, management, medicine, operational research and sociology, but papers from other areas are also considered. The editorial policy is to publish rigorous but clear and accessible papers on applied techniques. Purely theoretical papers are avoided but those on theoretical developments which clearly demonstrate significant applied potential are welcomed. Each paper is submitted to at least two independent referees.