Readme.md

In ebecht/infinityFlow: Augmenting Massively Parallel Cytometry Experiments Using Multivariate Non-Linear Regressions

Infinity Flow: High-throughput single-cell quantification of 100s of proteins using conventional flow cytometry and machine learning

This repository contains the software package infinityFlow designed to analyze massively-parallel cytometry experiments, such as BioLegend's LEGENDScreen or's BD Cell surface screening panels.

You can learn more about the Infinity Flow approach using the following sources. If you use this software in your research, please cite High-throughput single-cell quantification of hundreds of proteins using conventional flow cytometry and machine learning, Becht, Tolstrup, Dutertre, Morawski, Campbell, Ginhoux, Newell, Gottardo and Headley, 2021.

1. Our preprint
2. The peer-reviewed article
3. An imaged digest of the paper

The package is available from Bioconductor. Alternatively, you can install it from github:

if(!require(devtools)){
    install.packages("devtools")
}
if(!require(infinityFlow)){
    library(devtools)
    install_github("ebecht/infinityFlow")
}

To use the package, you can follow the vignette. Alternatively, you can run the following command in an R session after installing the package:

browseVignettes("infinityFlow")

ebecht/infinityFlow documentation built on Jan. 31, 2024, 11:31 p.m.