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

被引:405
作者
Jones, Thouis R. [1 ,2 ,3 ]
Kang, In Han [3 ]
Wheeler, Douglas B. [2 ]
Lindquist, Robert A. [2 ]
Papallo, Adam [1 ,2 ]
Sabatini, David M. [2 ,4 ]
Golland, Polina [3 ]
Carpenter, Anne E. [1 ,2 ]
机构
[1] MIT & Harvard, Broad Inst, Cambridge, MA 02142 USA
[2] Whitehead Inst Biomed Res, Cambridge, MA 02142 USA
[3] MIT, Comp Sci & Artificial Intelligence Lab, Cambridge, MA 02142 USA
[4] MIT, Dept Biol, Cambridge, MA 02142 USA
基金
美国国家科学基金会;
关键词
D O I
10.1186/1471-2105-9-482
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
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.
引用
收藏
页数:16
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