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Frontiers in ImmunologyBioinformaticsPeer-reviewed journal article

FlowAtlas.jl: an interactive tool bridging FlowJo with computational tools in Julia

Valerie Coppard, Gregory SzépiD, Zoya G. GeorgievaiD, Sarah HowlettiD, Lorna B. JarvisiD, Daniel B. RainbowiD, Ondřej SuchánekiD, Edward NeedhamiD, Hani S. MousaiD, David Krishna MenoniD, Felix FeyertagiD, Krishnaa T. A. MahbubaniiD, Kourosh Saeb‐ParsyiD, Joanne JonesiD

PDFDOIPreprint
Citations
5
FWCI
0.54
Field percentile
top 42%

Abstract

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.jl: an interactive web application that bridges the user-friendly environment of FlowJo and computational tools in Julia developed by the scientific machine learning community. We demonstrate the capabilities of FlowAtlas using a novel human multi-tissue, multi-donor immune cell dataset, highlighting key immunological findings.

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