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http://hdl.handle.net/10609/90066
Title: Aplicación web interactiva para minería de textos: Análisis del Síndrome de Williams-Beuren
Author: Natividad López, M.Pilar
Director: Rebrij, Romina
Tutor: Merino Arranz, David
Keywords: web applications
text mining
PubMed
Williams-Beuren syndrome
Issue Date: 1-Dec-2018
Publisher: Universitat Oberta de Catalunya (UOC)
Abstract: The purpose of this master's thesis has been the development of an interactive web application with Shiny Dashboard, to perform text mining using the R pubmed.mineR package, on a corpus obtained from Pubmed. From this corpus you can browse the abstracts that compose it, allowing later to link with Pubmed to download the complete document. Allows to apply filters, to find the abstracts that contain a term or a gene. It is also possible to get the most frequent words and genes, and then display the cloud of words and genes. It also allows obtaining the existing information in Uniprot for each gene. Finally, it offers the possibility of obtaining the most common diseases related to the corpus obtained through Pubtator, and on them to find out, if they exist, the similarity relations of these diseases with genes, from a latent semantic analysis and the similarity of the cosine. Using the application, an analysis was made of a corpus consisting of 1580 abstracts, about the Williams-Beuren syndrome, a neurodevelopmental disorder that occurs from the moment of the birth of the individual, caused by the deletion of more than twenty-five genes, such as GTF2I, GTF2IRD1, GTF2IRD2, ELN, LIMK1, STX1A, BAZIB, BCL7B and F2D9, on chromosome 7 at position 11.23. This neurodevelopmental disorder can cause among other diseases, supravalvular aortic stenosis, hyper sociability, deficits in social cognition, sensorineural hearing loss, hypercalcemia, growth retardation and facial dysmorphism.
Language: Spanish
URI: http://hdl.handle.net/10609/90066
Appears in Collections:Bachelor thesis, research projects, etc.

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