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ImmunoCluster: A computational framework for the non-specialist to profile cellular heterogeneity in...

ImmunoCluster: A computational framework for the non-specialist to profile cellular heterogeneity in...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2508166072

ImmunoCluster: A computational framework for the non-specialist to profile cellular heterogeneity in cytometry datasets

About this item

Full title

ImmunoCluster: A computational framework for the non-specialist to profile cellular heterogeneity in cytometry datasets

Publisher

Cold Spring Harbor: Cold Spring Harbor Laboratory Press

Journal title

bioRxiv, 2020-09

Language

English

Formats

Publication information

Publisher

Cold Spring Harbor: Cold Spring Harbor Laboratory Press

More information

Scope and Contents

Contents

Abstract High dimensional cytometry is an innovative tool for immune monitoring in health and disease, it has provided novel insight into the underlying biology as well as biomarkers for a variety of diseases. However, the analysis of multiparametric “big data” 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 non-specialist. The analysis framework implemented within ImmunoCluster is readily scalable to millions of cells and provides a variety of visualization and...

Alternative Titles

Full title

ImmunoCluster: A computational framework for the non-specialist to profile cellular heterogeneity in cytometry datasets

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2508166072

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2508166072

Other Identifiers

E-ISSN

2692-8205

DOI

10.1101/2020.09.09.289033