CellProfiler Analyst: interactive data exploration, analysis and classification of large biological image sets | Zendy

David Dao | Zendy; Adam Fraser | Zendy; Jane Hung | Zendy; Vebjorn Ljosa | Zendy; Shantanu Singh | Zendy; Anne E. Carpenter | Zendy

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CellProfiler Analyst: interactive data exploration, analysis and classification of large biological image sets

Author(s) -

David Dao,

Adam Fraser,

Jane Hung,

Vebjorn Ljosa,

Shantanu Singh,

Anne E. Carpenter

Publication year - 2016

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btw390

Subject(s) - computer science , mit license , python (programming language) , os x , visualization , software , mac os , data exploration , classifier (uml) , graphical user interface , data mining , information retrieval , artificial intelligence , programming language

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).

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