R package for pre-processing of mass and flow cytometry data
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Updated
Sep 6, 2022 - R
R package for pre-processing of mass and flow cytometry data
A computational toolkit in R for the integration, exploration, and analysis of high-dimensional single-cell cytometry and imaging data.
R scripts to reproduce analyses in our paper comparing clustering methods for high-dimensional cytometry data
A data-centric flow/mass cytometry automated analysis framework
Huge-scale, high-performance flow cytometry clustering in Julia
R package for analysis of single-cell data using graphs
R package for interactive visualization and analysis of single-cell data
R package to cluster single-cell data and generate features that can be used for model building
Flow/Mass Cytometry Gating via Spatial Kernel Density Estimation
Code and manuscript files for Aaron and Arianne's differential abundance methodology manuscript.
Plots the NRS (non-redundancy score) of selected markers from one or more FCS files
Functions and scripts for analysing and normalising CyTOF data
This repository extends scanpy to handle flow and mass cytometry data.
Fast auto-cleanup of CyTOF data
R scripts to reproduce analyses in our paper comparing clustering methods for high-dimensional cytometry data
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
Hierarchical Nearest Neighbor Descent, In-Tree, and Clustering (Teng Qiu, Yongjie Li, Pattern Recognition, 2023)
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