There are 2 repositories under flow-cytometry-analysis topic.
A Python toolkit for flow cytometry analysis supporting GatingML and FlowJo workspaces
đź§« Read Flow Cytometry Standard (FCS) files in Julia
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.
Shiny Modules for visualizing flow cytometry data
An R Interactive Shiny Application for the Analysis of Imaging and Conventional Flow Cytometry
A simple python plotting package for density and scatter plotting.
Code used for computational detection of MRD in AML using flow cytometry data.
A small R package containing useful R functions for cytometry data for internal use.
This repository contains the code used in our benchmark of imputation tools for flow cytometry data.
TimeFlow: a density-driven pseudotime method for flow cytometry data analysis.
R scripts to help with your flow cytometry analysis. Batch index export and overlays
Flow cytometry data analysis with R
High throughput single-cell analysis pipeline with ML-powered adaptive k value thresholding for spot counting of Fluorescent in-situ Hybridisation (FISH) spots from Amnis true imaging flow cytometers. Ongoing development.
FlowFI is a python-based package for selecting important features for gating of flow cytometry events and analysis of these features.
FACkit is a complete R toolkit providing transformation, data-exploration, dimensional-reduction and clustering methods tailored to semi-automated analysis of FACS data
Graph-based analysis of natural killer (NK) cell phenotypes in flow cytometry-based immunotherapy assays using FlowSOM.
Data Challenge for microbial community flow cytometry