Abstract
Visualization is essential to the understanding of complex data derived from high content screening. It is necessary to present information in a way that captures patterns and trends in the data in order to answer specific questions while also providing a way to formulate new questions and hypothesis. Specific types of visualizations can provide information on the quality of the data, temporal, and spatial patterns of cellular response, cell phenotype, and the relationship to additional data such as the chemical structure of test compounds. Interacting with this data through linked visualizations and visual filtering facilitates exploration and hypothesis generation to better understand biological systems.
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Anstett, M.J. (2007). Visualization of High Content Screening Data. In: Taylor, D.L., Haskins, J.R., Giuliano, K.A. (eds) High Content Screening. Methods in Molecular Biology, vol 356. Humana Press. https://doi.org/10.1385/1-59745-217-3:301
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DOI: https://doi.org/10.1385/1-59745-217-3:301
Publisher Name: Humana Press
Print ISBN: 978-1-58829-731-0
Online ISBN: 978-1-59745-217-5
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