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Machine learning with biomedical ontologies: applications in precision health

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If you have a question about this talk, please contact Samantha Noel .

Our intention is to deliver all Seminars in person, we will follow University Covid Guidance on this. Seminars are aimed mainly at MPhil CompBio students, but are open to anyone who wishes to attend by pre-booking with the Administrator

The life sciences have invested significant resources in the development and application of semantic technologies to make research data accessible and interlinked, and to enable the integration and analysis of data. Utilizing the semantics associated with research data in data analysis approaches is often challenging. Now, novel methods are becoming available that combine symbolic methods and statistical methods in Artificial Intelligence. In my talk, I will show how to incorporate biological background knowledge in machine learning models for identification of gene-disease associations, genomic variants that are causative for heritable disorders, and to predict protein functions. The methods I describe are generic and can be applied in other domains in which biomedical ontologies and structured knowledge bases exist.

This talk is part of the Computational and Systems Biology Seminar Series 2023 - 24 series.

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