Abstract

“Why not both? A semi-supervised pipeline for a comprehensive and scalable analysis of immune heterogeneity in human samples”.

David Rach1

Flow Cytometry Shared Resource, University of Maryland Greenebaum Comprehensive Cancer Center, Baltimore, USA

As spectral panels grow increasingly complex, unlocking their full potential for biological discovery depends on our ability to handle uncertainty, and systematically profile the higher-dimensional space. Leveraging open-source tools, we share our approach at tackling these challenges for rare clinical cohorts acquired on our core’s Cytek Auroras. 

Code Talk will be on October 28, 2026

License

In our commitment to open-science and open-source, all teaching materials are freely offered under a CC-BY-SA license, while all code examples are offered under the AGPL3-0 copyleft license.