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

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

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 computation...

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Bibliographic Details
Main Authors: James W Opzoomer, Jessica A Timms, Kevin Blighe, Thanos P Mourikis, Nicolas Chapuis, Richard Bekoe, Sedigeh Kareemaghay, Paola Nocerino, Benedetta Apollonio, Alan G Ramsay, Mahvash Tavassoli, Claire Harrison, Francesca Ciccarelli, Peter Parker, Michaela Fontenay, Paul R Barber, James N Arnold, Shahram Kordasti
Format: Article
Language:English
Published: eLife Sciences Publications Ltd 2021-04-01
Series:eLife
Subjects:
ImmunoCluster
framework
immunology
computational biology
cytometry
immune monitoring
Online Access:https://elifesciences.org/articles/62915

Internet

https://elifesciences.org/articles/62915

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