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

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, parti...

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Detaylı Bibliyografya
Asıl Yazarlar: Wheeler, Douglas B., Kang, In Han, Golland, Polina, Papallo, Adam, Lindquist, Robert A., Jones, Thouis R., Van Dyk, Anne Carpenter, Sabatini, David
Diğer Yazarlar: Broad Institute of MIT and Harvard
Materyal Türü: Makale
Dil:en_US
Baskı/Yayın Bilgisi: BioMed Central Ltd. 2009
Online Erişim:http://hdl.handle.net/1721.1/49464
https://orcid.org/0000-0003-2516-731X
https://orcid.org/0000-0002-1446-7256
Diğer Bilgiler
Özet: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.