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

Cell Analyzer for Flow Experiment

Pipeline for flow cytometry anlaysis

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

Flow Cytometry analysis in R | Proteomics

HDStIM: High Dimensional Stimulation Immune Mapping

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.

TockyConvNetPy is a Python package for training Convolutional Neural Networks (ConvNets) and performing Grad-CAM analysis on image-converted Tocky data. It complements the R-based TockyConvNetR package, together forming the integrated TockyConvNet workflow for feature cell analysis.

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

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.

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

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

Example code supporting immunology research

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.

A collection of tools provided by HIMSR

Reporting page of the HVP Innovation Award 2019

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

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

Interactive data exploration of Multi Dimensional Scaling (MDS) projections

Flow cytometry analysis in R

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