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Cited by 541

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

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

Open access
Jones, Thouis R, Kang, In Han, Wheeler, Douglas B, Lindquist, Robert A, Papallo, Adam, Sabatini, David M, Golland, Polina, Carpenter, Anne E·2008·BMC Bioinformatics

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.

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Metadata

Authors
Jones, T. R., Kang, I. H., Wheeler, D. B., Lindquist, R. A., Papallo, A., Sabatini, D. M., Golland, P., & Carpenter, A. E.
Venue
BMC Bioinformatics
Published
2008-11-15
Volume
9
Issue
1
Pages
482-482
ISSN
1471-2105 (ISSN-L)
OpenAlex
W2139442812
Cited by
541
References
1
FWCI
7.09
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: CellProfiler Analyst: data exploration and analysis software for complex image-based screens. https://app.cochat.ai/papers/10.1186/1471-2105-9-482
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Jones, T. R., Kang, I. H., Wheeler, D. B., Lindquist, R. A., Papallo, A., Sabatini, D. M., Golland, P., & Carpenter, A. E. (2008). CellProfiler Analyst: data exploration and analysis software for complex image-based screens. BMC Bioinformatics. https://doi.org/10.1186/1471-2105-9-482

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.