Yimin Zheng
I'm a Postdoctoral Fellow at CeMM, Vienna, my current research focus is on digital pathology and spatial omics. I'm an open-sourced software developer in my free time and a big fan of scientific visualization.
Sessions
Biological data visualization is challenged by the growing complexity and size of datasets. While single-plot visualization methods struggle to capture the full picture of datasets, researchers turn to composable visualizations that are usually specialized to a domain requiring familiarity with multiple visualization tools. To unify the creation of composable visualization, we introduce a novel and intuitive general visualization paradigm termed "cross-layout,” which integrates multiple plot types in a cross-like structure. This paradigm allows for a central main plot surrounded by secondary plots, each capable of layering additional features for enhanced context and understanding. To operationalize this paradigm, we present "Marsilea", a Python library designed for creating composable visualizations with ease. Marsilea is notable for its modularity, diverse plot types, and compatibility with various data formats. This talk will bring attendees insights into composable visualizations, and they will learn how to use Marsilea to express different aspects of their single-cell or spatial omics data into a composable visualization. Marsilea is accessible to everyone with basic knowledge of Python, open-sourced at https://github.com/Marsilea-viz/marsilea.