Facilitating the analysis of immunological data with visual analytic techniques.
Visual analytics (VA) has emerged as a new way to analyze large dataset through interactive visual display. We demonstrated the utility and the flexibility of a VA approach in the analysis of biological datasets. Examples of these datasets in immunology include flow cytometry, Luminex data, and genotyping (e.g., single nucleotide polymorphism) data. Contrary to the traditional information visualization approach, VA restores the analysis power in the hands of analyst by allowing the analyst to engage in real-time data exploration process. We selected the VA software called Tableau after evaluating several VA tools. Two types of analysis tasks analysis within and between datasets were demonstrated in the video presentation using an approach called paired analysis. Paired analysis, as defined in VA, is an analysis approach in which a VA tool expert works side-by-side with a domain expert during the analysis. The domain expert is the one who understands the significance of the data, and asks the questions that the collected data might address. The tool expert then creates visualizations to help find patterns in the data that might answer these questions. The short lag-time between the hypothesis generation and the rapid visual display of the data is the main advantage of a VA approach.
Department of Paediatrics, Division of Infectious and Immunological Diseases, Child and Family Research Institute, University of British Columbia.
David C
DC
Shih
Kevin C
KC
Ho
Kyle M
KM
Melnick
Ronald A
RA
Rensink
Tobias R
TR
Kollmann
Edgardo S
ES
Fortuno
D003196:Computer Graphics; D003627:Data Interpretation, Statistical; D007158:Immunologic Techniques; D016247:Information Storage and Retrieval / Q000379:methods*
IEEE Trans Vis Comput Graph. 2006 Nov-Dec;12(6):1511-22
17073373
J Immunol. 2009 Dec 1;183(11):7150-60
19917677