FlowAtlas: an interactive tool for high-dimensional immunophenotyping analysis bridging FlowJo with computational tools in Julia

FlowAtlas: an interactive tool for high-dimensional immunophenotyping analysis bridging FlowJo with computational tools in Julia

As the dimensionality, throughput and complexity of cytometry data increases, so does the demand for user-friendly, interactive analysis tools that leverage high-performance machine learning frameworks. Here we introduce FlowAtlas: an interactive web application that enables dimensionality reduction...

Full description

Bibliographic Details
Main Authors: Valerie Coppard, Grisha Szep, Zoya Georgieva, Sarah K. Howlett, Lorna B. Jarvis, Daniel B. Rainbow, Ondrej Suchanek, Edward J. Needham, Hani S. Mousa, David K. Menon, Felix Feyertag, Krishnaa T. Mahbubani, Kourosh Saeb-Parsy, Joanne L. Jones
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-07-01
Series:Frontiers in Immunology
Subjects:
flow cytometry analysis
high-dimensional cytometry
dimensionality reduction
immunophenotyping
spectral flow cytometry
Julia programming language
Online Access:https://www.frontiersin.org/articles/10.3389/fimmu.2024.1425488/full

Internet

https://www.frontiersin.org/articles/10.3389/fimmu.2024.1425488/full

Similar Items