Dao David, Fraser Adam N, Hung Jane, Ljosa Vebjorn, Singh Shantanu, Carpenter Anne E
Imaging Platform, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA Department of Informatics, Technical University of Munich, Munich, Bavaria 80333, Germany.
Imaging Platform, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA.
Bioinformatics. 2016 Oct 15;32(20):3210-3212. doi: 10.1093/bioinformatics/btw390. Epub 2016 Jun 26.
CellProfiler Analyst allows the exploration and visualization of image-based data, together with the classification of complex biological phenotypes, via an interactive user interface designed for biologists and data scientists. CellProfiler Analyst 2.0, completely rewritten in Python, builds on these features and adds enhanced supervised machine learning capabilities (Classifier), as well as visualization tools to overview an experiment (Plate Viewer and Image Gallery).
CellProfiler Analyst 2.0 is free and open source, available at http://www.cellprofiler.org and from GitHub (https://github.com/CellProfiler/CellProfiler-Analyst) under the BSD license. It is available as a packaged application for Mac OS X and Microsoft Windows and can be compiled for Linux. We implemented an automatic build process that supports nightly updates and regular release cycles for the software.
anne@broadinstitute.orgSupplementary information: Supplementary data are available at Bioinformatics online.
CellProfiler Analyst 可通过专为生物学家和数据科学家设计的交互式用户界面,对基于图像的数据进行探索和可视化,以及对复杂生物表型进行分类。完全用 Python 重写的 CellProfiler Analyst 2.0 在这些功能的基础上,增加了增强的监督式机器学习功能(分类器),以及用于概述实验的可视化工具(平板查看器和图像库)。
CellProfiler Analyst 2.0 是免费的开源软件,可从 http://www.cellprofiler.org 获取,也可在 BSD 许可下从 GitHub(https://github.com/CellProfiler/CellProfiler-Analyst)获取。它以打包应用程序的形式提供给 Mac OS X 和 Microsoft Windows,也可针对 Linux 进行编译。我们实现了一个自动构建过程,支持该软件的夜间更新和定期发布周期。
补充数据可在《生物信息学》在线版获取。