CellProfiler Analyst: data exploration and analysis software for complex image-based screens

Author(s)
Wheeler, Douglas B.; Kang, In Han; Golland, Polina; Papallo, Adam; Lindquist, Robert A.; ... Show more
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Abstract
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.
Date issued
2008-11
URI
http://hdl.handle.net/1721.1/49464
Department
Broad Institute of MIT and Harvard; Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory; Massachusetts Institute of Technology. Department of Biology; Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science; Whitehead Institute for Biomedical Research
Journal
BMC Bioinformatics
Publisher
BioMed Central Ltd.
Citation
T. Jones, I. Kang, D. Wheeler, R. Lindquist, A. Papallo, D. Sabatini, P. Golland, and A. Carpenter, “CellProfiler Analyst: data exploration and analysis software for complex image-based screens,” BMC Bioinformatics, vol. 9, 2008, p. 482.
Version: Final published version
ISSN
1471-2105
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