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Métodos de aprendizaje automático para el procesamiento de arrays de genes

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2015-07
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2015-07-08
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The main purpose of this research is to carry out the processing and the classification of several arrays of genes in order to resolve which of them become relevant for the diagnosis of certain diseases. The DNA sequencing techniques have allowed us to obtain genetic chains composed by thousands of units. In spite of all of these genes play an important role in our organism, we do not need the entire sequence for detecting a concrete illness. Each part of the array provides some information about a certain aspect of our body. Due to each one affects directly or indirectly to the pathology in question, the objective of this investigation is to elaborate a study in which, by using a machine learning algorithm, we come to be able to conclude what elements are more decisive when we try to classify some chains. In this way, we become capable to detect quickly if a concrete illness is going to appear in a person or not.
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Arrays, Genes, Inteligencia artificial, Aprendizaje, Algoritmos
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