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Title: Enrich_Gen: Plataforma web para el enriquecimiento clínico y farmacológico de variantes de genes
Author: Oruezábal Moreno, Mauro Javier
Director: Rebrij, Romina
Tutor: Merino Arranz, David
Keywords: data mining
latent semantic analysis
web applications
singular value decomposition
Issue Date: 16-Jun-2018
Publisher: Universitat Oberta de Catalunya (UOC)
Abstract: The Enrich Gen platform allows, through the integration of information from various databases and visualization in tables or graphs, to prioritize the most relevant genes in an analysis; to know the similarity or distance between the genes; to disposse a list of drugs with activity for each gene; to know the clinical trials available by gene, and finally, evaluate the scientific evidence of each gene. The three fundamental procedures of the platform are: the metadata, the latent semantic analysis based on the decomposition of a matrix in its singular values; and semantic analysis based on ontology. The first, metadata, is characterized by highly structured data due to the rules included for its extraction, classification and adaptation to the visualization structure that allows to gain in efficiency and / or improve interpretation; the latent semantic analysis based on the decomposition in singular values is used for the construction of a node-arc graph from a search in the PubMed platform; and semantic analysis based on ontology, is used to evaluate the similarity of genes based on the terms GO. Enrich Gen is a web tool that allows user to extract clinical, pharmacological, biological information, and facilitates the annotation of a set of genes after knowing their similarity based on the GO terms, therefore, it is very useful in clinical practice.
Language: Spanish
Appears in Collections:Bachelor thesis, research projects, etc.

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