DataMap demonstrates high-dimensional data visualization in biomedical research, suggesting secure, user-friendly exploration tools.
<ns3:p>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.</ns3:p>
No takes yet. Share an insight, caveat, or question.
Ge et al. (2025) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: