Reevaluating statistical methods in metabolomic studies:A case for Spearman’s correlation  

作　　者：Yoshiyasu Takefuji 

机构地区：[1]Faculty of Data Science,Musashino University,3-3-3 Ariake Koto-ku,Tokyo 135-8181,Japan

出　　处：《Molecular Plant》2025年第3期383-383,共1页分子植物(英文版)

摘　　要：Dear Editor,Recently,Liang et al.(2024)conducted comprehensive genome resequencing and metabolomic analyses of 299 representative accessions from extant citrus species,offering an extensive overview of genetic diversity and metabolic profiles across citrus populations.Their study included a correlation analysis that assessed the relationship between metabolite content and bioactivities,resulting in the selection of the top 100 annotated metabolites exhibiting the highest correlation coefficients(Pearson’s r)across various chemical assays,cell lines,and CYP450 enzymes(Liang et al.,2024).

关 键 词：correlation analysis Spearman s correlation metabolomic studies genetic diversity metabolic profiles metabolomic analyses genome resequencing annotated metabolites metabolite content 

分 类 号：S66[农业科学—果树学]