Visualizing cellular imaging data using PhenoPlot.

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.

SUBMITTER: Sailem HZ 

PROVIDER: S-EPMC4354266 | biostudies-literature | 2015 Jan

REPOSITORIES: biostudies-literature