Rapid cell population identification in flow cytometry data
Open Access
- 22 December 2010
- journal article
- research article
- Published by Wiley in Cytometry Part A
- Vol. 79A (1) , 6-13
- https://doi.org/10.1002/cyto.a.21007
Abstract
We have developed flowMeans, a time‐efficient and accurate method for automated identification of cell populations in flow cytometry (FCM) data based on K‐means clustering. Unlike traditional K‐means, flowMeans can identify concave cell populations by modelling a single population with multiple clusters. flowMeans uses a change point detection algorithm to determine the number of sub‐populations, enabling the method to be used in high throughput FCM data analysis pipelines. Our approach compares favorably to manual analysis by human experts and current state‐of‐the‐art automated gating algorithms. flowMeans is freely available as an open source R package through Bioconductor. © 2010 International Society for Advancement of CytometryKeywords
This publication has 21 references indexed in Scilit:
- Data reduction for spectral clustering to analyze high throughput flow cytometry dataBMC Bioinformatics, 2010
- Good cell, bad cell: Flow cytometry reveals T‐cell subsets important in HIV diseaseCytometry Part A, 2010
- Data analysis in flow cytometry: The future just startedCytometry Part A, 2010
- Combining Mixture Components for ClusteringJournal of Computational and Graphical Statistics, 2010
- A Survey of Flow Cytometry Data Analysis MethodsAdvances in Bioinformatics, 2009
- Per‐channel basis normalization methods for flow cytometry dataCytometry Part A, 2009
- Automated high-dimensional flow cytometric data analysisProceedings of the National Academy of Sciences, 2009
- Automated gating of flow cytometry data via robust model‐based clusteringCytometry Part A, 2008
- High-Content Flow Cytometry and Temporal Data Analysis for Defining a Cellular Signature of Graft-Versus-Host DiseaseTransplantation and Cellular Therapy, 2007
- Reduction of variation in T‐cell subset enumeration among 55 laboratories using single‐platform, three or four‐color flow cytometry based on CD45 and SSC‐based gating of lymphocytesCytometry, 2002