FigureYa is a comprehensive, community-driven biomedical visualization framework that provides over 300 self-contained R Markdown templates for generating publication-ready scientific figures. Published in iMetaMed (DOI: 10.1002/imm3.70005), it spans the full spectrum of biomedical data analysis — from survival curves and volcano plots to single-cell trajectories and pan-cancer landscapes — all built on a single, repeatable design philosophy: swap your data into a CSV, run one script, and obtain a ready-to-publish figure.
What FigureYa Solves
Reproducible scientific visualization is hard. Researchers routinely spend hours tweaking ggplot2 aesthetics, managing package dependencies, and formatting outputs for journals — only to lose track of the exact code that produced a given figure. FigureYa eliminates this friction by encapsulating every analysis into a standardized, self-contained module. Each module ships with example input data, an automatic dependency installer, a style reference image, and pre-rendered outputs. You never need to write plotting code from scratch; you only need to replace the CSV.