My NCBISign In

Display Settings:

Format

Send to:

Choose Destination

    Source Code Biol Med. 2008 Jun 17;3:10.

    Flow: Statistics, visualization and informatics for flow cytometry.

    Frelinger J, Kepler TB, Chan C.

    Center for Computational Immunology, Department of Biostatistics & Bioinformatics, Duke University Medical Center, 2424 Erwin Road, Hock Plaza Suite G06, Durham, NC 27705, USA. cliburn.chan@duke.edu.

    ABSTRACT: Flow is an open source software application for clinical and experimental researchers to perform exploratory data analysis, clustering and annotation of flow cytometric data. Flow is an extensible system that offers the ease of use commonly found in commercial flow cytometry software packages and the statistical power of academic packages like the R BioConductor project.

    PMID: 18559108 [PubMed - in process]

    PMCID: PMC2442075

    Supplemental Content

    Click here to read Click here to read
    Write to the Help Desk