ImmunoCluster provides a computational framework for the nonspecialist to profile high-dimensional cytometry data.

ABSTRACT: High-dimensional cytometry is an innovative tool for immune monitoring in health and disease, and it has provided novel insight into the underlying biology as well as biomarkers for a variety of diseases. However, the analysis of large multiparametric datasets usually requires specialist computational knowledge. Here, we describe ImmunoCluster (https://github.com/kordastilab/ImmunoCluster), an R package for immune profiling cellular heterogeneity in high-dimensional liquid and imaging mass cytometry, and flow cytometry data, designed to facilitate computational analysis by a nonspecialist. The analysis framework implemented within ImmunoCluster is readily scalable to millions of cells and provides a variety of visualization and analytical approaches, as well as a rich array o

SUBMITTER: Opzoomer JW 

PROVIDER: S-EPMC8112868 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature