Joint modeling of an outcome variable and integrated omics datasets using GLM-PO2PLS

IF 1.2 4区数学 Q2 STATISTICS & PROBABILITY

Journal of Applied Statistics Pub Date : 2024-02-21 DOI:10.1080/02664763.2024.2313458

Zhujie Gu, Hae-Won Uh, Jeanine Houwing-Duistermaat, Said el Bouhaddani

引用次数: 0

Abstract

In many studies of human diseases, multiple omics datasets are measured. Typically, these omics datasets are studied one by one with the disease, thus the relationship between omics is overlooked. ...

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利用 GLM-PO2PLS 对结果变量和综合全息数据集进行联合建模

在许多人类疾病研究中，都会测量多个全息数据集。通常情况下，这些 omics 数据集是与疾病逐一研究的，因此忽略了 omics 之间的关系。

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.