arcolombo/cellprofiler-analyst

Open-source software for exploring and analyzing large, high-dimensional image-derived data.

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Version	Documentation	Forum

CellProfiler Analyst allows interactive exploration and analysis of data, particularly from high-throughput, image-based experiments. Included is a supervised machine learning system which can be trained to recognize complex and subtle phenotypes, for automatic scoring of millions of cells.

Installation

Download CellProfiler Analyst

CellProfiler Analyst requires JDK 1.8 to be installed (not just JRE). Check the Java path.

Please note that this is the development branch of CPA and it will be updated on regular basis.

Find all releases here.

For a head start, download example dataset here: Example Dataset for CPA (zipped)

Developer build

Building CPA on your machine requires CellProfiler dependencies. Check the wiki for more detailed installation instructions.

• Pandas
• Seaborn
• Scikit-learn
• Javabridge
• Verlib
• Python-bioformats

Documentation

http://cellprofiler.org/cpa/

Wiki

https://github.com/CellProfiler/CellProfiler-Analyst/wiki

Forum

CellProfiler Analyst development is discussed on the CellProfiler Forum list.

http://forum.cellprofiler.org/

How to file new issues

Please attach sufficient information to reproduce the bug. For many bugs, it is appropriate to attach a properties file, a training set, or a screenshot.

How to cite

David Dao, Adam N Fraser, Jane Hung, Vebjorn Ljosa, Shantanu Singh and Anne E Carpenter
CellProfiler Analyst: interactive data exploration, analysis and classification of large biological image sets
Bioinformatics (2016) doi:10.1093/bioinformatics/btw390

Thouis R Jones, In Han Kang, Douglas B Wheeler, Robert A Lindquist, Adam Papallo, David M Sabatini, Polina Golland and Anne E Carpenter
CellProfiler Analyst: data exploration and analysis software for complex image-based screens
BMC Bioinformatics (2008) doi:10.1186/1471-2105-9-482

Contributors

David Dao, Adam Fraser, Vebjorn Ljosa, Thouis R. Jones, Jane Hung, Shantanu Singh, Mark Bray, Lee Kamentsky, Anne Carpenter

Kudos

David Logan, Allen Goodman, Alison Kozol, Mohammad Hossein Rohban

Copyright 2016, The Broad Institute of MIT and Harvard. Distributed under the BSD license.