R scripts to reproduce analyses in our paper comparing clustering methods for high-dimensional cytometry data
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Updated
Feb 15, 2017 - R
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
R package for interactive visualization and analysis of single-cell data
R package for analysis of single-cell data using graphs
R package to cluster single-cell data and generate features that can be used for model building
An archived version of the cydar repository, see https://github.com/MarioniLab/cydar for the active version.
Fast auto-cleanup of CyTOF 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.
Flow/Mass Cytometry Gating via Spatial Kernel Density Estimation
R scripts to reproduce analyses in our paper comparing clustering methods for high-dimensional cytometry data
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)
Opens two or more FCS files and creates new files that contain only the Channels common to all.
Plots the NRS (non-redundancy score) of selected markers from one or more FCS files
Plots the MDS (Multi-dimensional scaling) of 3 or more FCS files.
R Script to plot the average event rate in flow or mass cytometry (FCS) files
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