Tools for Imaging Flow Cytometry
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Updated
May 13, 2024 - R
Tools for Imaging Flow Cytometry
An R package for analyzing high-dimensional cytometry data using the tidyverse.
A Python toolkit for flow cytometry analysis supporting GatingML and FlowJo workspaces
Image Processing tools for Imaging Flow Cytometry
Biology-driven deep generative model for cell-type annotation in cytometry. Scyan is an interpretable model that also corrects batch-effect and can be used for debarcoding or population discovery.
A Python library for reading and writing Flow Cytometry Standard (FCS) files
FlowUtils is a Python package containing various utility functions related to flow cytometry analysis, primarily focused on compensation and transformation tasks commonly used within the flow community.
PICAFlow: a complete R workflow dedicated to flow/mass cytometry data, from data pre-processing to deep and comprehensive analysis.
Easily install and load packages from the tidyomcis ecosystem
Flow/Mass Cytometry Gating via Spatial Kernel Density Estimation
Official implementation of GateNet
Pipeline for analysing and visualising CyTOF datasets, with a focus on PTM signalling networks.
Temporal clustering and tracking algorithm which fuses on FlowSOM and ChronoClust, specifically designed for analysing temporal cytometry data
an interactive explorer for flow cytometry data
HDStIM: High Dimensional Stimulation Immune Mapping
An R package for visualization and relational analysis of cell states, based on the Mapper algorithm from topological data analysis.
Image Mass Cytometry analysis pipeline
An R Interactive Shiny Application for the Analysis of Imaging and Conventional Flow Cytometry
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