Department of Electrical Electronic Engineering and Automation, Universitat Rovira i Virgili, IISPV, 43007 Tarragona, Spain.
Metabolomics Interdisciplinary Group, Department of Nutrition and Metabolism, Institut d'Investigació Sanitària Pere Virgili, 43201 Reus, Catalonia, Spain.
Bioinformatics. 2022 Jan 3;38(2):583-585. doi: 10.1093/bioinformatics/btab591.
The combination, analysis and evaluation of different studies which try to answer or solve the same scientific question, also known as a meta-analysis, plays a crucial role in answering relevant clinical relevant questions. Unfortunately, metabolomics studies rarely disclose all the statistical information needed to perform a meta-analysis. Here, we present a meta-analysis approach using only the most reported statistical parameters in this field: P-value and fold-change. The P-values are combined via Fisher's method and fold-changes by averaging, both weighted by the study size (n). The amanida package includes several visualization options: a volcano plot for quantitative results, a vote plot for total regulation behaviours (up/down regulations) for each compound, and a explore plot of the vote-counting results with the number of times a compound is found upregulated or downregulated. In this way, it is very easy to detect discrepancies between studies at a first glance.
Amanida code and documentation are at CRAN and https://github.com/mariallr/amanida.
Supplementary data are available at Bioinformatics online.
组合、分析和评估旨在回答或解决相同科学问题的不同研究，也称为荟萃分析，对于回答相关临床问题起着至关重要的作用。遗憾的是，代谢组学研究很少披露进行荟萃分析所需的所有统计信息。在这里，我们提出了一种仅使用该领域最常报道的统计参数的荟萃分析方法：P 值和倍数变化。通过 Fisher 方法组合 P 值，并通过加权研究规模（n）平均倍数变化。amanida 包包括几种可视化选项：用于定量结果的火山图，用于每个化合物的总调控行为（上调/下调调控）的投票图，以及用于票数计数结果的探索图，其中化合物被上调或下调的次数。通过这种方式，很容易一眼就发现研究之间的差异。
amanida 代码和文档可在 CRAN 和 https://github.com/mariallr/amanida 上获得。
补充数据可在生物信息学在线获得。
