Sofie Van Gassen

Ghent University
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Articles (13)

Year:

2025

Motivation We describe a new Python implementation of FlowSOM, a clustering method for cytometry data. Results This implementation is faster than the original version in R, better adapted to work with single-cell omics data including integration with current single-cell data structures and includes all the original visualizations, such as the star and pie plot. Availability and implementation The FlowSOM Python implementation is freely available on GitHub: https://github.com/saeyslab/FlowSOM_Python.

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2024

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2024

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2023

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2022

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2022

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2022

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2022

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2021

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2021

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2021

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2021

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2021

Collaborators (8)

Marta Eugenia Alarcón Riquelme

Professor (20%)

Karolinska Institutet

SWEDEN
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Martin Prlic

Fred Hutchinson Cancer Research Center

UNITED STATES
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Jean-François Deleuze

Université Paris-Saclay

FRANCE
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Vibeke Kruse

Guest Professor

Ghent University

BELGIUM
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Lukas M. Weber

Assistant Professor

Boston University

UNITED STATES
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Gert Van Isterdael

-

BELGIUM
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C. Bachas

-

NETHERLANDS
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Mette D. Hazenberg

-

NETHERLANDS
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