Outcome-guided Bayesian clustering for disease subtype discovery using high-dimensional transcriptomic data

IF 1.2 4区数学 Q2 STATISTICS & PROBABILITY

Journal of Applied Statistics Pub Date : 2024-06-07 DOI:10.1080/02664763.2024.2362275

Lingsong Meng, Zhiguang Huo

引用次数: 0

Abstract

Due to the tremendous heterogeneity of disease manifestations, many complex diseases that were once thought to be single diseases are now considered to have disease subtypes. Disease subtyping anal...

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利用高维转录组数据发现疾病亚型的结果引导贝叶斯聚类法

由于疾病表现的巨大异质性，许多曾被认为是单一疾病的复杂疾病现在被认为具有疾病亚型。疾病亚型分析...

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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.