Title
CellProfiler Analyst: interactive data exploration, analysis and classification of large biological image sets.
Abstract
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). Availability and Implementation: 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.
Year
DOI
Venue
2016
10.1093/bioinformatics/btw390
BIOINFORMATICS
Field
DocType
Volume
Data mining,Microsoft Windows,Visualization,Computer science,Software,Datasets as Topic,OS X,Bioinformatics,Classifier (linguistics),User interface,Python (programming language)
Journal
32
Issue
ISSN
Citations 
20
1367-4803
3
PageRank 
References 
Authors
0.44
0
6
Name
Order
Citations
PageRank
David Dao130.44
Adam Fraser2282.98
Jane Hung330.44
Vebjorn Ljosa420812.43
Shantanu Singh5315.06
Anne E. Carpenter613712.90