DataMap让高维生物数据可视化更安全便捷，无需安装即可在浏览器中分析。
DataMap: A Portable Application for Visualizing High-Dimensional Data
- 基于浏览器运行，保障数据隐私且免安装部署
- 支持热图、PCA、t-SNE三种可视化方式，可交互探索数据结构
- 自动生成可复现的R代码，适合科研人员快速分析高维数据
高维数据的可视化与分析在生物医学研究中至关重要。亟需安全、可扩展且可复现的工具以支持数据探索与解读。我们推出了DataMap，一款基于浏览器的高维数据可视化应用，支持热图、主成分分析（PCA）和t分布随机邻域嵌入（t-SNE）。DataMap在浏览器中运行，确保数据隐私，无需安装或服务器支持。应用提供直观的用户界面，用于数据变换、注释及生成可复现的R代码。项目开源，可通过https://gexijin.github.io/datamap/免费访问，源码位于https://github.com/gexijin/datamap，也可作为R包安装使用。
原文摘要 · Abstract (English)
Motivation: The visualization and analysis of high-dimensional data are essential in biomedical research. There is a need for secure, scalable, and reproducible tools to facilitate data exploration and interpretation. Results: We introduce DataMap, a browser-based application for visualization of high-dimensional data using heatmaps, principal component analysis (PCA), and t-distributed stochastic neighbor embedding (t-SNE). DataMap runs in the web browser, ensuring data privacy while eliminating the need for installation or a server. The application has an intuitive user interface for data transformation, annotation, and generation of reproducible R code. Availability and Implementation: Freely available as a GitHub page https://gexijin.github.io/datamap/. The source code can be found at https://github.com/gexijin/datamap, and can also be installed as an R package. Contact: [email protected]
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