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Visualizing cellular imaging data using PhenoPlot
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DOI：10.1038/ncomms6825.png)
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摘要
En 中文
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.
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15.7
论文数:
9.4W
被引数:
91.2W
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