Update README.md

Author: gexijin

README.md

@@ -1,13 +1,13 @@
 ## DataMap: Visualizing Data Matrices in Your Browser
 
-To use this app, just visit this static [GitHub page](https://gexijin.github.io/datamap/) deployed from this repo via Actions. For large datasets, install it as an R package for local execution: 
+To use this app, just visit this static [GitHub page](https://gexijin.github.io/datamap/) deployed from this repo. For large datasets, install it as an R package: 
 ```{R}
 install.packages("remotes")
 remotes::install_github("gexijin/datamap", upgrade = "never")
 datamap::run_app()
 ```
 
-DataMap is a secure, browser-based application for visualizing high-dimensional 'omics and other data matrices with heatmaps, PCA, and t-SNE. Built with Shiny and running entirely in your browser through Shinylive technology, DataMap ensures your data never leaves your device.
+DataMap is a secure, browser-based application for visualizing high-dimensional 'omics and other data matrices with heatmaps, PCA, and t-SNE. Built with R/Shiny using [shinylive](https://posit-dev.github.io/r-shinylive/), DataMap is a serverless app that ensures your data never leaves your device.
 
 ![heatmap](https://github.com/user-attachments/assets/b649808a-d8d3-4a84-94ed-bec42a9b8f81)
 ![image](https://github.com/user-attachments/assets/cbdaaa45-e681-4cbd-b8ef-500b0c4b0b8a)
@@ -20,41 +20,42 @@ Quick start: watch a 2-min video on [**YouTube.**](https://youtu.be/9G508BxzjBk)
 ## Features
 
 - **Browser-based**: No installation required, runs completely in your browser
-- **Secure**: Your data stays on your device, never uploaded to any server
 - **Interactive Visualizations**: 
   - Heatmaps with hierarchical clustering
   - Principal Component Analysis (PCA)
   - t-SNE (t-Distributed Stochastic Neighbor Embedding)
-- **Exportable**: Generate reproducible R code for your analysis
+- **Exportable**: Generate R code to reproduce the plots.
+- **Publication-ready plots**: Export as PNG or PDF formats
 - **Multiple File Formats**: Supports CSV, TSV, TXT, and Excel files
-- **Customizable**: Extensive visualization parameters
 
 ### Data Format Requirements
 
 Your data should be organized in a matrix format where:
 - The first row must contain column headers
 - The first column may contain row identifiers.
 - Some columns can be categorical, which will be used to color rows.
-- Column annotation can be uploaded separately.
-
+- Column annotation can be included in the data matrix or uploaded separately.
 
 ## FAQ
 
 **Is my data secure?**  
-Yes. DataMap runs entirely in your browser. Your data never leaves your device.
+Yes. DataMap runs entirely in your browser. After loading the app, it works fine even if you disconnect the internet. 
 
 **What browsers are supported?**  
-Chrome, Firefox, Edge, and Safari (latest versions recommended).
+Chrome, Firefox (slower to load), Edge, and Safari.
 
 **Can I use DataMap offline?**  
-Yes, once loaded in your browser, DataMap can operate without an internet connection.
+Yes, once loaded in your browser, DataMap can operate without an internet connection. Alternatively, you can intsall DataMap as an R package.
 
 **Limitations?**  
-Slower in the browser when clustering 5000 rows or columns. Can take up to 2 minutes.
+Slower in the browser when clustering 5000 rows or columns. Can take up to 2 minutes. For large datasets, install and use it as an R package.
+
+**Why did you write DataMap?**  
+A. I love heatmaps. B. I wanted to do an vibe coding experiment. I prompted and Claude.ai 95% of the code. See my [blog](https://www.ge-lab.org/2025/04/21/extreme-vibe-coding-the-making-of-datamap/) on how DataMap was developed.
 
-## How to Cite
+## Cite our preprint
 
-If you use DataMap in your research, please cite it as:
+If you use DataMap in your research, please cite:
 
 > Ge, X. (2025). DataMap: A Portable Application for Visualizing High-Dimensional Data,	[arXiv:2504.08875](https://arxiv.org/abs/2504.08875), 2025.