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The randomization test applied to flow cytometric histograms.

R C Mann, R E Hand

    Computer Programs in Biomedicine
    |August 1, 1983
    PubMed
    Summary
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    A new randomization test compares flow cytometry histograms from different biological systems. This non-parametric method works with few samples, making it versatile for small experiments.

    Area of Science:

    • Biomedical Engineering
    • Computational Biology
    • Quantitative Biology

    Background:

    • Flow cytometry generates high-dimensional data represented as histograms.
    • Comparing biological samples often requires statistical methods to assess differences in cell populations.
    • Existing methods may rely on parametric assumptions or require large datasets.

    Purpose of the Study:

    • To introduce a channel-by-channel randomization test for comparing flow cytometry histogram groups.
    • To provide a non-parametric statistical method applicable to diverse biological systems.
    • To enable hypothesis testing with limited experimental data.

    Main Methods:

    • A channel-by-channel randomization test was developed.
    • The test assesses if histogram groups originate from the same probability density function.

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  • The procedure is implemented in PASCAL for use with flow cytometers.

    • Main Results:

    • The randomization test is non-parametric, requiring no assumptions about underlying probability distributions.
    • It is effective even with a small number of histograms per group.
    • The method is applicable across various biological systems.

    Conclusions:

    • The developed randomization test offers a robust and flexible approach for comparing flow cytometry data.
    • Its non-parametric nature and low sample requirement enhance its utility in biological research.
    • This method facilitates the statistical comparison of cell populations in flow cytometry experiments.