Visualizing cellular imaging data using PhenoPlot

Heba Z. Sailem, Julia E. Sero and Chris Bakal ()
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Heba Z. Sailem: Dynamical Cell Systems, Institute of Cancer Research
Julia E. Sero: Dynamical Cell Systems, Institute of Cancer Research
Chris Bakal: Dynamical Cell Systems, Institute of Cancer Research

Nature Communications, 2015, vol. 6, issue 1, 1-6

Abstract: Abstract Visualization is essential for data interpretation, hypothesis formulation and communication of results. However, there is a paucity of visualization methods for image-derived data sets generated by high-content analysis in which complex cellular phenotypes are described as high-dimensional vectors of features. Here we present a visualization tool, PhenoPlot, which represents quantitative high-content imaging data as easily interpretable glyphs, and we illustrate how PhenoPlot can be used to improve the exploration and interpretation of complex breast cancer cell phenotypes.

Date: 2015
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DOI: 10.1038/ncomms6825

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