针对高维微生物组数据的基于等级的相关矩阵估计

IF 1.2 4区 数学 Q2 STATISTICS & PROBABILITY
Jiyang Wang, Wanfeng Liang, Lijie Li, Feng Zou
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引用次数: 0

摘要

近年来,高通量测序技术的进步极大地支持了微生物群落分析。事实上,现实世界中的微生物组数据都是高维度的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Rank-based correlation matrix estimation for high dimensional microbiome data
In recent years, the progress made in high-throughout sequencing techniques supports the analysis of microbial communities greatly. The fact that real-world microbiome data lie in a high-dimensiona...
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来源期刊
Statistics
Statistics 数学-统计学与概率论
CiteScore
1.00
自引率
0.00%
发文量
59
审稿时长
12 months
期刊介绍: Statistics publishes papers developing and analysing new methods for any active field of statistics, motivated by real-life problems. Papers submitted for consideration should provide interesting and novel contributions to statistical theory and its applications with rigorous mathematical results and proofs. Moreover, numerical simulations and application to real data sets can improve the quality of papers, and should be included where appropriate. Statistics does not publish papers which represent mere application of existing procedures to case studies, and papers are required to contain methodological or theoretical innovation. Topics of interest include, for example, nonparametric statistics, time series, analysis of topological or functional data. Furthermore the journal also welcomes submissions in the field of theoretical econometrics and its links to mathematical statistics.
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