A computational toolkit in R for the integration, exploration, and analysis of high-dimensional single-cell cytometry and imaging data.
-
Updated
Apr 25, 2024 - HTML
A computational toolkit in R for the integration, exploration, and analysis of high-dimensional single-cell cytometry and imaging data.
Flow/Mass Cytometry Gating via Spatial Kernel Density Estimation
Official implementation of GateNet
Huge-scale, high-performance flow cytometry clustering in Julia
R package for analysis of single-cell data using graphs
Hierarchical Nearest Neighbor Descent, In-Tree, and Clustering (Teng Qiu, Yongjie Li, Pattern Recognition, 2023)
R package for pre-processing of mass and flow cytometry data
This repository extends scanpy to handle flow and mass cytometry data.
R package for interactive visualization and analysis of single-cell data
A data-centric flow/mass cytometry automated analysis framework
Fast auto-cleanup of CyTOF data
R package to cluster single-cell data and generate features that can be used for model building
Novel ultrafast suite for high-throughput & high-content multiparameter screening as in drug discovery. It has unique modules for QC, bias correction, similarity measurement, clustering and visualization. It can process hundreds of samples with many markers in a few hours not days & circumvents bath effect. It couples with any plate reader.
Very fast method to read number of events from some / all FCS files in a directory
Single Cell Outlier Selector - quickly find outliers in your single-cell data
R Script to plot the average event rate in flow or mass cytometry (FCS) files
Plots the MDS (Multi-dimensional scaling) of 3 or more FCS files.
Plots the NRS (non-redundancy score) of selected markers from one or more FCS files
Add a description, image, and links to the mass-cytometry topic page so that developers can more easily learn about it.
To associate your repository with the mass-cytometry topic, visit your repo's landing page and select "manage topics."