Hierarchical modeling for rare event detection and cell subset alignment across flow cytometry samples.

Hierarchical modeling for rare event detection and cell subset alignment across flow cytometry samples.

Flow cytometry is the prototypical assay for multi-parameter single cell analysis, and is essential in vaccine and biomarker research for the enumeration of antigen-specific lymphocytes that are often found in extremely low frequencies (0.1% or less). Standard analysis of flow cytometry data relies...

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Bibliographic Details
Main Authors: Andrew Cron, Cécile Gouttefangeas, Jacob Frelinger, Lin Lin, Satwinder K Singh, Cedrik M Britten, Marij J P Welters, Sjoerd H van der Burg, Mike West, Cliburn Chan
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2013-01-01
Series:PLoS Computational Biology
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23874174/?tool=EBI

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https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23874174/?tool=EBI

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