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Project

Exaptation: Scalable solutions for image-based and across-partner compound activity prediction and application to compound selection

The aim of the project is to extend the applicability of prediction of compound activity and the extension of the number of data sources that can be combined. We alos aim to apply the the methods to currently running drug development. Due to the scale and the size of the data sets high performance computing is required.
Date:1 Apr 2016  →  30 Sep 2018
Keywords:DATASETS
Disciplines:Analysis, Applied mathematics in specific fields, General mathematics, History and foundations, Other mathematical sciences
Project type:Collaboration project