Year: 2025
Type: article
Abstract: Background 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 designed for the visualization of high-dimensional data using heatmaps and dimensionality reduction plots. DataMap operates directly in the web browser, ensuring data privacy without the requirement of installations or server setups. The application features an intuitive user interface for data transformation, annotation, and generation of reproducible R code. Conclusions Freely accessible as a GitHub page (https://gexijin.github.io/datamap), DataMap is a secure, user-friendly, and reproducible solution for visualizing high-dimensional data.
Source: F1000Research
Author: Xijin Ge
Institution: South Dakota State University
Language: English
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $1,350
OpenAlex ID: W4416092627