Jones Thouis R, Kang In Han, Wheeler Douglas B, Lindquist Robert A, Papallo Adam, Sabatini David M, Golland Polina, Carpenter Anne E
Imaging Platform, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
BMC Bioinformatics. 2008 Nov 15;9:482. doi: 10.1186/1471-2105-9-482.
Image-based screens can produce hundreds of measured features for each of hundreds of millions of individual cells in a single experiment.
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.
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.
基于图像的筛选在单次实验中可为数亿个单个细胞中的每一个产生数百个测量特征。
在此，我们描述了CellProfiler Analyst，这是一款用于交互式探索和分析多维数据，特别是来自高通量、基于图像实验的数据的开源软件。
该系统能够对基于图像的筛选进行交互式数据探索，并对需要每个细胞多个测量特征组合的复杂表型进行自动评分。
