Background: Image-based screens can produce hundreds of measured features for each of hundreds of millions of individual cells in a single experiment. Results: Here, we describe CellProfiler Analyst, open-source software for the interactive exploration and analysis of multidimensional data, particularly data from high-throughput, image-based experiments. Conclusion: The system enables interactive data exploration for image-based screens and automated scoring of complex phenotypes that require combinations of multiple measured features per cell. © 2008 Jones et al; licensee BioMed Central Ltd.
CITATION STYLE
Jones, T. R., Kang, I. H., Wheeler, D. B., Lindquist, R. A., Papallo, A., Sabatini, D. M., … Carpenter, A. E. (2008). CellProfiler Analyst: Data exploration and analysis software for complex image-based screens. BMC Bioinformatics, 9. https://doi.org/10.1186/1471-2105-9-482
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