jillbo1000/cytofQC: Labels normalized cells for CyTOF data and assigns probabilities for each label

cytofQC is a package for initial cleaning of CyTOF data. It uses a semi-supervised approach for labeling cells with their most likely data type (bead, doublet, debris, dead) and the probability that they belong to each label type. This package does not remove data from the dataset, but provides labels and information to aid the data user in cleaning their data. Our algorithm is able to distinguish between doublets and large cells.

Getting started

Package details

Bioconductor views Annotation SingleCell Software
URL https://github.com/jillbo1000/cytofQC
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
jillbo1000/cytofQC documentation built on Aug. 23, 2023, 9:47 p.m.