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http://hdl.handle.net/10609/73785
Title: | Machine learning para la predicción de interacciones entre microARN y ARN mensajeros |
Author: | Merino Monge, Manuel |
Tutor: | Pla Planas, Albert |
Others: | Universitat Oberta de Catalunya Morán Moreno, Jose Antonio |
Abstract: | Micro RNA are small DNA sequence that manages gene expresion. A micro RNA matches in a specific binding site. The reason of this one is unknown. Several tools have been developed to predict these interactions. The goal of this project is developing a Java software based on machine learning and feature selection to classify two sequences (RNA and micro RNA) using Weka library. Data were extrated from public repositories. 18091 positive cases and 16711 negative cases were obtained. The result is a high accuracy of correct classification (86%). Several problems were presented during developing, so that number of features and classifiers were limited. |
Keywords: | feature selection microRNA sorters machine learning |
Document type: | info:eu-repo/semantics/masterThesis |
Issue Date: | Jan-2018 |
Publication license: | http://www.gnu.org/licenses/gpl.html |
Appears in Collections: | Trabajos finales de carrera, trabajos de investigación, etc. |
Files in This Item:
File | Description | Size | Format | |
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manmermonTFM0118memoria.pdf | Memoria del TFM | 2,17 MB | Adobe PDF | View/Open |
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