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Robert Hoehndorf, King Abdullah University, Saudi Arabia
Learning from semantic biological data
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
describe how to apply knowledge graph embeddings for analysis of
biological and biomedical data, in particular identification of
gene-disease associations and drug targets. I will also show how
information from text-mining can be combined in a multi-modal machine
learning model to further improve predictive performance, and how
these methods can help to improve the prediction of protein
Grads in Games is bringing the award-winning Get in the Game careers talks to the University of Warwick on Monday 26th November!
If you want to know more about how to get into the games industry, sign up now (https://www.eventbrite.co.uk/e/get-in-the-game-careers-talks-university-of-warwick-tickets-45549139703?aff=ebdssbdestsearch) for this free event & make sure you don’t miss out!
Talks will be presented by Aardvark Swift, leading games industry recruiters. We’ll help you learn what it really takes to make it into such a competitive industry, covering topics such as:
CV, Portfolio & Demo Advice
How to increase your employability
Insight on the technical and practical knowledge that studios are looking for
The talk is suitable for all years, programmers, artists, animators, VFX artists and designers!