Drawing on Millions of Biomedical Journal Publications to do Predictive Biology

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• Prof Karin Verspoor (School of Computing and Information Systems, the University of Melbourne)
• Wednesday 20 March 2019, 14:00-15:00
• Computer Science, The Sloman Lounge (UG).

If you have a question about this talk, please contact Hector Basevi.

Host: Dr Shan He

Abstract: The biomedical literature captures the most current biomedical knowledge and is a tremendously rich resource for research. With over 29 million (and growing!) publications currently indexed in the US National Library of Medicine’s PubMed index, however, it is becoming increasingly challenging for biomedical researchers to keep up with this literature. Automated strategies for extracting information from it are required. Large-scale processing of the literature enables direct biomedical knowledge discovery. In this presentation, I will introduce the use of text mining techniques to support analysis of biological data sets, and will specifically discuss applications in protein function prediction and analysis of genetic variants that are supported by analysis of the literature.

Website: www.textminingscience.com

This talk is part of the Artificial Intelligence and Natural Computation seminars series.

This talk is included in these lists:

• Artificial Intelligence and Natural Computation seminars
• Computer Science Departmental Series
• Computer Science Distinguished Seminars
• Computer Science, The Sloman Lounge (UG)
• computer sience

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