Hands-on on Protein Function Prediction with Machine Learning and Interactive Analytics

 

Understanding protein functions is crucial to unlocking the value of genomic data for biomedical research and innovation. Delivering personalized health and precision medicine requires a detailed understanding of the consequences of sequence variants in proteins and their impact on phenotype. The widening gap between known proteins and their functions has encouraged the development of methods to automatically infer annotations. Artificial intelligence and machine learning hold a large repertoire of algorithms and methodologies to discover and infer prediction models. Coupled with the new big data technologies for interactive analytics and data transformation, the AI/ML methods represent valuable assets that could enhance the discovery of protein functions. 

You can access the notebook used in this webinar here.

This webinar was recorded on 11 May 2018. It is best viewed in full screen mode using Google Chrome. The slides from this webinar can be downloaded below.

See the EMBL-EBI training pages for a list of upcoming webinars.

This webinar is for scientists and bioinformaticians with an interest in protein functions, machine learning and modelling.

About this course

Author(s): 
Rabie Saidi
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