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DTSTAMP:20260617T092646Z
UID:ba00d569-920d-44de-86cb-005a3149c34c
DTSTART:20180511T000000Z
DTEND:20180511T000000Z
DESCRIPTION:Understanding protein functions is crucial to unlocking the val
 ue of genomic data for biomedical research and innovation. Delivering pers
 onalised health and precision medicine requires a detailed understanding o
 f the consequences of sequence variants in proteins and their impact on ph
 enotype. The widening gap between known proteins and their functions has e
 ncouraged the development of methods to automatically infer annotations. A
 rtificial intelligence and machine learning hold a large repertoire of alg
 orithms and methodologies to discover and infer prediction models. Coupled
  with the new big data technologies for interactive analytics and data tra
 nsformation\, the AI/ML methods represent valuable assets that could enhan
 ce the discovery of protein functions.   \n  \n This tutorial will help y
 ou understanding how to use Spark and Interactive Analytics to make sense 
 of protein data and build machine learning models to infer their functions
 . 
SUMMARY:Hands-on on protein function prediction with machine learning and i
 nteractive analytics
URL;VALUE=URI:https://www.ebi.ac.uk/training/events/hands-protein-function-
 prediction-machine-learning-and-interactive-analytics
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