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flowMatch specifications


Unique identifier OMICS_05602
Name flowMatch
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 1.16.0
Stability Stable
methods, Biobase, R(>=3.0.0), Rcpp(>=0.11.0), flowCore, healthyFlowData
Maintained Yes


No version available


Publication for flowMatch

flowMatch citations


QFMatch: multidimensional flow and mass cytometry samples alignment

Sci Rep
PMCID: 5818510
PMID: 29459702
DOI: 10.1038/s41598-018-21444-4

[…] ost current methods rely on different types of (dis)similarity measures, including (1) Joint Clustering and Matching, which is based on a symmetric form of the Kullback-Leibler (KL) divergence; (2) a flowMatch package, which employs Euclidean distance, Mahalanobis distance and KL divergence for computing the dissimilarities between clusters; and, (3) another commonly used package, FLAME, which rel […]


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

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

[…] Kullback–Leibler divergence and the Euclidean distance between cluster/meta-cluster centers as the dissimilarity between a pair of clusters or meta-clusters (these three options are available in the flowMatch package). We observe that the Kullback–Leibler divergence and Mahalanobis distance perform similarly for the HD dataset. However, when we use the Euclidean distance in the mixed edge cover c […]


Mapping cell populations in flow cytometry data for cross‐sample comparison using the Friedman–Rafsky test statistic as a distance measure

PMCID: 5014134
PMID: 26274018
DOI: 10.1002/cyto.a.22735

[…] using the simulated scenarios was also evaluated using the symmetric version of Kullback–Leibler (referred to be SKL distance to distinguish from the original KL distance) divergence measure used in flowMatch to compare cell populations across multiple samples . The KL distance is known as an asymmetric distance measure between two distributions such that the values comparing CP1 to CP2 and CP2 t […]

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flowMatch institution(s)
Department of Computer Science, Purdue University, West Lafayette, IN, USA

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