Deep Learning for Protein Function Prediction

Alba Avilés, Manuel

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Alba Avilés, Manuel

Tutor / directorCremers, Daniel; Golkov, Vladimir

CovenanteeTechnische Universität München

Document typeMaster thesis

Date2017-09-26

Rights accessOpen Access

All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder

Abstract

The assignment of functions to proteins is a bottleneck due to the need of costly and time-consuming molecular experiments. This is the reason why more often data analysis methods are used for protein an- notation. In this thesis I consider an approach based on Deep Learning architectures.

SubjectsMachine learning, Proteins, Aprenentatge automàtic, Proteïnes

DegreeMÀSTER UNIVERSITARI EN INNOVACIÓ I RECERCA EN INFORMÀTICA (Pla 2012)

URIhttp://hdl.handle.net/2117/117716

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Màsters oficials - Master in Innovation and Research in Informatics - MIRI [488]

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