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Title: Relación entre las alteraciones génicas asociadas a los mecanismos epigenéticos y los perfiles de metilación aberrante hallados en el ADN canceroso global
Author: Ponce Ruiz, Lorena
Tutor: Mallona González, Izaskun
Others: Prados Carrasco, Ferran  
Keywords: copy-number variation
machine learning
somatic mutations
Issue Date: 5-Jun-2019
Publisher: Universitat Oberta de Catalunya (UOC)
Abstract: The relevance of genetic and epigenetic alterations in the formation of tumors, their development and metastasis are well known at present. Nonetheless, in most cases there is no associative evidence between aberrant methylation profiles and the genetic status of cancer cells. The aim of this paper is to clarify this relationship by looking for patterns in the number of copies and mutations of candidate genes that may be predictive of aberrant methylation profiles or vice versa. For this purpose, databases will be selected with information about somatic mutations, variation in the number of gene copies and methylation profiles present in normal tissue and cancerous tissue from 4 different cohorts, which correspond to 4 types of cancer: lung, prostate, breast and colon; by its initials in TCGA: LUAD, PRAD, BRCA and COAD, respectively. The method of analysis is framed in the process known as datamining, which includes a series of techniques related to statistics, artificial intelligence, data visualization and many other fields that allow to find patterns in large databases as those that will be worked on in the present work.
Language: Spanish
Appears in Collections:Trabajos finales de carrera, trabajos de investigación, etc.

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