flowcytometry

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

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.

HDStIM: High Dimensional Stimulation Immune Mapping

Openflo: a open source flow cytometry repo with flowjo compatibility and automation pipeline

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

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.

Cross-platform flow cytometry analysis software with interactive gating and batch processing

StreamFLOW is a desktop flow-cytometry analysis application

A reference Python implementation of the SPADE algorithm for high-dimensional cytometry and single-cell data.

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

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

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

Example code supporting immunology research