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http://hdl.handle.net/10609/127071
Title: | Análisis de la implicancia de los miARN en el hepatocarcinoma aplicando minería de texto |
Author: | Riedel Cánepa, Natalia |
Tutor: | Rebrij, Romina |
Others: | Perez-Navarro, Antoni |
Abstract: | Through text mining, it has been possible to collect information from different publications, related to hepatocarcinoma (HCC) and miRNAs. From here we have obtained genes that would be involved in this disease, miRNAs that play an important role and mutations that could lead to the formation of HCC. The analysis carried out is viewed through a web application, HmiR², which was carried out with the Shiny framework. This allows integration with several databases that provide relevant information about the context in which this disease develops,such as what is the function of genes, what is the target to which miRNAs are directed, what type of mutations and where they happen. This work could serve as a starting point for new lines of research that include miRNAs and their role in cancer. |
Keywords: | hepatocarcinoma miarn text mining |
Document type: | info:eu-repo/semantics/masterThesis |
Issue Date: | Jan-2021 |
Publication license: | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
Appears in Collections: | Trabajos finales de carrera, trabajos de investigación, etc. |
Files in This Item:
File | Description | Size | Format | |
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nriedelTFM0121memoria.pdf | Memoria del TFM | 2,21 MB | Adobe PDF | View/Open |
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