Article

CAFE: An Integrated Web App for High-Dimensional Analysis and Visualisation in Spectral Flow Cytometry

2025-01-07

Abstract excerpt

Spectral flow cytometry provides greater insights into cellular heterogeneity by simultaneous measurement of up to 50 markers. However, analyzing such high-dimensional (HD) data is complex through traditional manual gating strategy. To address this gap, we developed CAFE as an open-source Python-based web application with a graphical user interface. Built with Streamlit, CAFE incorporates libraries such as Scanpy...

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Literature Corpus work: bbed3e79-0bb8-5524-bada-6f2bbce70e08
DOI: 10.32388/i17ppm

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