Work

Abstract 2466: Designing an intuitive visualization of BRCAness scores for clinicians

Year: 2019

Type: conference-abstract

Source: Bioinformatics, Convergence Science, and Systems Biology

DOI: 10.1158/1538-7445.sabcs18-2466

Authors: Hannah R. Allegakoen, Mary Goldman, Bennett Caughey, Martin Consunji, Christopher C. Benz, David Haussler, Jingchun Zhu, Eric A. Collisson

Institutions: University of California, San Francisco, University of California, Santa Cruz, Buck Institute for Research on Aging

Language: English

Topic: Data Visualization and Analytics

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W2954609176

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