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Related Experiment Video

Updated: Jun 5, 2026

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
10:58

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques

Published on: January 2, 2011

Facilitating the analysis of immunological data with visual analytic techniques.

David C Shih1, Kevin C Ho, Kyle M Melnick

  • 1Department of Paediatrics, Division of Infectious and Immunological Diseases, Child and Family Research Institute, University of British Columbia.

Journal of Visualized Experiments : Jove
|January 21, 2011
PubMed
Summary

Visual analytics (VA) offers a flexible approach for exploring large biological datasets, such as flow cytometry and genotyping data. This method empowers analysts with real-time data interaction, accelerating hypothesis generation and pattern discovery.

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Area of Science:

  • * Computational Biology
  • * Bioinformatics
  • * Immunology

Background:

  • * Traditional information visualization methods can limit analyst interaction with large datasets.
  • * Visual analytics (VA) provides an interactive approach to data analysis.
  • * Biological datasets, including flow cytometry, Luminex, and genotyping data, are complex and require advanced analytical tools.

Purpose of the Study:

  • * To demonstrate the utility and flexibility of visual analytics (VA) for analyzing biological datasets.
  • * To highlight how VA empowers analysts through real-time data exploration.
  • * To introduce and exemplify the paired analysis approach within VA.

Main Methods:

  • * Evaluation and selection of VA software, specifically Tableau.

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Last Updated: Jun 5, 2026

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
10:58

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques

Published on: January 2, 2011

Visualization, Quantification, and Mapping of Immune Cell Populations in the Tumor Microenvironment
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Visualization, Quantification, and Mapping of Immune Cell Populations in the Tumor Microenvironment

Published on: March 25, 2020

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  • * Implementation of paired analysis, a collaborative approach involving a VA tool expert and a domain expert.
  • * Demonstration of analysis tasks within and between datasets using Tableau.
  • Main Results:

    • * VA enables analysts to engage in real-time data exploration, restoring analytical power.
    • * Paired analysis facilitates hypothesis generation and rapid visual data display.
    • * The VA approach proved effective for analyzing diverse biological datasets in immunology.

    Conclusions:

    • * Visual analytics is a powerful and flexible tool for biological data analysis.
    • * The paired analysis method enhances the efficiency of data exploration and pattern discovery.
    • * VA accelerates the process from hypothesis generation to data-driven insights.