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flowMeans specifications


Unique identifier OMICS_05603
Name flowMeans
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
License Artistic License version 2.0
Computer skills Advanced
Version 1.40.0
Stability Stable
R(>=2.10.0), methods, stats, graphics, Biobase, grDevices, rrcov, flowCore, feature
Maintained Yes


No version available


Publication for flowMeans

flowMeans citations


Immunophenotype Discovery, Hierarchical Organization, and Template Based Classification of Flow Cytometry Samples

PMCID: 5005935
PMID: 27630823
DOI: 10.3389/fonc.2016.00188

[…] t feasible for high-dimensional or high-throughput FC data. To address the gating problem, researchers have proposed several automated clustering algorithms, such as FLAME (), FLOCK (), flowClust (), flowMeans (), SamSPECTRAL (), SWIFT (), etc. Aghaeepour et al. () provides a state-of-the-art summary of the field.Different algorithms perform better for different FC datasets as was observed in a se […]


Single and multi subject clustering of flow cytometry data for cell type identification and anomaly detection

BMC Med Genomics
PMCID: 4980779
PMID: 27510222
DOI: 10.1186/s12920-016-0201-x

[…] nel contains antibodies to surface markers and intracellular proteins.Additionally, we compared our method against four well-known algorithms in the field: FLAME [], SamSpectral [], flowMerge [], and flowMeans []. […]


Multidimensional Clusters of CD4+ T Cell Dysfunction Are Primarily Associated with the CD4/CD8 Ratio in Chronic HIV Infection

PLoS One
PMCID: 4581870
PMID: 26402620
DOI: 10.1371/journal.pone.0137635

[…] t be slow at estimating model parameters of high-dimensional dataset. SamSPECTRAL [] is an example of the graph-based methods, while multidimensional clustering approaches available include SPADE [], flowMeans [] and FLOCK []. Here, we investigated whether one of the existing multidimensional clustering approaches, FLOCK, could delineate HIV-infected versus healthy control subjects based on the me […]


An Introduction to Automated Flow Cytometry Gating Tools and Their Implementation

Front Immunol
PMCID: 4515551
PMID: 26284066
DOI: 10.3389/fimmu.2015.00380

[…] rically shaped populations (). However, k-means is also a relatively fast procedure, which provides an important advantage over other automated gating algorithms. Some software packages [for example, flowMeans ()] attempt to circumvent the drawback of a priori cluster specification by first computationally identifying the maximal number of clusters in a given FCM dataset, then iteratively collapsi […]


Flow Cytometry Bioinformatics

PLoS Comput Biol
PMCID: 3867282
PMID: 24363631
DOI: 10.1371/journal.pcbi.1003365
call_split See protocol

[…] odel-based algorithms (e.g., flowClust and FLAME ), density-based algorithms (e.g., FLOCK and SWIFT), graph-based approaches (e.g., SamSPECTRAL ), and, most recently, hybrids of several approaches (flowMeans and flowPeaks ). These algorithms are different in terms of memory and time complexity, their software requirements, their ability to automatically determine the required number of cell pop […]


Integration of Lyoplate Based Flow Cytometry and Computational Analysis for Standardized Immunological Biomarker Discovery

PLoS One
PMCID: 3701052
PMID: 23843942
DOI: 10.1371/journal.pone.0065485

[…] ) to be analysed in a bidimensional space. We have therefore applied a computational analysis pipeline approach to our dataset.flowType was used to extract 6560 cell populations from every FCS file. flowMeans was used as the population identification algorithm. The IL-10+, IL-17A+, and Foxp3+ populations were too small to be automatically identified. For these markers, all of the samples were co […]


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flowMeans institution(s)
Terry Fox Laboratory, BC Cancer Agency, Vancouver, BC, Canada

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