scientific visualization

The scientific visualization tag covers reproducible plotting practices and AI-assisted techniques for making complex biological data easier to interpret. Discussions include the recommendation to preserve Python, R, JavaScript, or AI-assisted plotting code alongside finished figures, so researchers can document and reuse the workflow behind a chart. The tag also follows RF-PHATE, a supervised AI method designed to map high-dimensional biological datasets, including RNA sequencing, cancer cell measurements, COVID-19 plasma profiles, and multiple sclerosis progression. Together, these topics show how scientific visualization connects practical research documentation with emerging computational methods for revealing patterns that may be difficult to see in raw data.