Testing differences in cell type proportions from single-cell data.
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Updated
Dec 5, 2024 - R
Testing differences in cell type proportions from single-cell data.
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
Integration of multi-batch cytometry datasets
Official implementation of GateNet
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.
Accurate and Efficient Simulation of CyTOF data
HDStIM: High Dimensional Stimulation Immune Mapping
Analysis and visualisation single-cell proteomic data (CyTOF)
Fast auto-cleanup of CyTOF data
Profilling of Peripheral Blood Mononuclear Cells using CyTOF
Analysis scripts for vaccination and challenge study published in Scientific Reports.
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