An R package for simple, customizable binning of flow cytometric data
-
Updated
Aug 26, 2022 - R
An R package for simple, customizable binning of flow cytometric data
Conversion from light scattering measured by SeaFlow to carbon per cell
Very fast method to read number of events from some / all FCS files in a directory
Plots the MDS (Multi-dimensional scaling) of 3 or more FCS files.
Data for Imaging Flow Cytometry
This repo is deprecated. Use https://github.com/plantarum/flowPloidy instead!
Correction for flow cytometry histograms when part of the population is in noise
R Script to plot the average event rate in flow or mass cytometry (FCS) files
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.
Calibration of SeaFlow's Virtual Core
An R Interactive Shiny Application for the Analysis of Imaging and Conventional Flow Cytometry
Conversion from light scattering measured by SeaFlow to cell diameter
batch-titration is a container that allows for one or more fcs files to be automatically processed (using AWS Batch or other runners). It produces an html document.
FauxFlow - Analyze Single Cell Genomics Data in a Flow Cytometry Paradigm
Data processing for flow cytometry and LEGENDplex cytokine data described in "Decidual leukocytes respond to African lineage Zika virus infection with mild anti-inflammatory changes during acute infection in rhesus macaques
Opens two or more FCS files and creates new files that contain only the Channels common to all.
An R package for flow cytometry histogram analysis
Retrieve index sorted data and visually explore .fcs data files.
Add a description, image, and links to the flow-cytometry topic page so that developers can more easily learn about it.
To associate your repository with the flow-cytometry topic, visit your repo's landing page and select "manage topics."