Mixed-effect model to test differences in cell type proportions from single-cell data, in R
R scripts to reproduce analyses in our paper comparing clustering methods for high-dimensional cytometry data
R package for pre-processing of mass and flow cytometry data
Huge-scale, high-performance flow cytometry clustering in Julia
R package for interactive visualization and analysis of single-cell data
Official implementation of GateNet
Integration of multi-batch cytometry datasets
Accurate and Efficient Simulation of CyTOF data
A Python package for dimension reduction and evaluation workflows with CyTOF data.
Pipeline for analysing and visualising CyTOF datasets, with a focus on PTM signalling networks.
Single cell classification and feature engineering using DREMI scores
Analysis and visualisation single-cell proteomic data (CyTOF)
HDStIM: High Dimensional Stimulation Immune Mapping
Profilling of Peripheral Blood Mononuclear Cells using CyTOF
Fast auto-cleanup of CyTOF data
Analysis scripts for vaccination and challenge study published in Scientific Reports.
Lite version of the tool to analyze and visualize CyTOF data (still under development)
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