The complete FlowSOM package known from R, now available in Python!

Official implementation of Towards Self-Explainable Transformers for Cell Classification in Flow Cytometry Data

Pipeline for flow cytometry anlaysis

HDStIM: High Dimensional Stimulation Immune Mapping

This neural-network can predict the effector/memory T cell (T lymphocyte) subset of single cells based on flow cytometry data with 99,22% accuracy.

R package to identify and remove redundant information in bivariate flow cytometry data, in order to improve the quality of the training sets for machine learning algorithms.

Anonymization app for project Phenotyping Lymphoma with an Artificial Intelligence Toolbox (PLAIT) based on R shiny; access website and AI via eduroam

estimates genomes size using the flow cytometry

A collection of code used to analyze flow cytometry and root density data

Code for Karakaslar, Katiyar et al., Aging Cell 2023

Reporting page of the HVP Innovation Award 2019

Code for GUI visualization of data, for import of GuavaMuse .FCS files, for flow cytometry style gating, and for calculating enrichment and depletion after a given procedure.

An integrative workflow to extract single images from flow citometry files and create multichannel ome.tiff images

Flow Cytometry analysis in R | Proteomics

Extract Fluorescence Distribution Data From FCS Files And Recalculate To Events Per Volume

Example code supporting immunology research

Code used to analyze and produce figures during tenure in the Translational Tumor Engineering Lab

These are iPython notebooks used for analysis in my 2019 ABC-selectivity paper.

A collection of tools provided by HIMSR