Deep Learning for Protein Function Prediction
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.
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| Tipo de recurso: | tesis de maestría |
| Fecha de publicación: | 2017 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/117716 |
| Acceso en línea: | https://hdl.handle.net/2117/117716 |
| Access Level: | acceso abierto |
| Palabra clave: | Machine learning Proteins Biology Data Science Deep Learning Machine Learning Biologia Aprenentatge automàtic Proteïnes Àrees temàtiques de la UPC::Informàtica |
| Sumario: | 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. |
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