Department of Computer Science, Stanford University, Stanford, CA, USA 94305.
Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada V6Z1Y6.
Bioinformatics. 2022 Jan 27;38(4):1176-1178. doi: 10.1093/bioinformatics/btab754.
Mian is a web application to interactively visualize, run statistical tools and train machine learning models on operational taxonomic unit (OTU) or amplicon sequence variant (ASV) datasets to identify key taxonomic groups, diversity trends or taxonomic composition shifts in the context of provided categorical or numerical sample metadata. Tools, including Fisher's exact test, Boruta feature selection, alpha and beta diversity, and random forest and deep neural network classifiers, facilitate open-ended data exploration and hypothesis generation on microbial datasets.
Mian is freely available at: miandata.org. Mian is an open-source platform licensed under the MIT license with source code available at github.com/tbj128/mian.
Supplementary data are available at Bioinformatics online.
Mian 是一个网络应用程序，可用于交互式地可视化、运行统计工具和训练机器学习模型，以对操作分类单元 (OTU) 或扩增子序列变异 (ASV) 数据集进行分析，从而在提供的分类或数值样本元数据的背景下识别关键分类群、多样性趋势或分类组成变化。该程序提供了 Fisher 精确检验、Boruta 特征选择、alpha 和 beta 多样性以及随机森林和深度神经网络分类器等工具，可方便地对微生物数据集进行开放式数据探索和假设生成。
Mian 可在 miandata.org 上免费获取。Mian 是一个基于 MIT 许可证的开源平台，其源代码可在 github.com/tbj128/mian 上获取。
补充数据可在 Bioinformatics 在线获取。
