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http://hdl.handle.net/10609/74685
Title: Integración de variables clínicas y de expresión génica en un modelo estadístico para la valoración pronóstica en pacientes con cáncer de mama
Author: Nieto Moragas, Javier
Director: Gonzalo Sanz, Ricardo
Tutor: Morán Moreno, José Antonio
Ventura Royo, Carles  
Others: Universitat Oberta de Catalunya
Keywords: breast cancer
microarrays
pipeline
Issue Date: Jan-2018
Publisher: Universitat Oberta de Catalunya
Abstract: Despite early detection programs, the use of higher resolution imaging techniques or the greater specificity of chemotherapy treatments, cancer remains one of the leading causes of mortality in the population. For the breast cancer, despite the early diagnosis, the improvement in the treatment and the increase in the cure rate, the survival rate after 10 years of remission is around 80% in western coutries. Several authors have demonstrated the added value by including the measurement of genetic expression or the identification of patterns in the improvement of the diagnosis or the treatment. Other authors have described the utility of integrating variables of gene expression and variables obtained during clinical practice in a statistical model without an overfitting. After the analysis and the selection of clinical and gene expression variables from a public database, a LASSO classifier with good diagnostic performance was obtained. The application of the model in an independent cohort shows an acceptable performance. However, only a small improvement is observed when clinical variables are included in the models with the gene expression variables.
Language: Spanish
URI: http://hdl.handle.net/10609/74685
Appears in Collections:Bachelor thesis, research projects, etc.

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Presentación TFM_Javier_Nieto_Moragas.ppsxPresentación Power Point18.82 MBUnknownView/Open
GSE21653_series_matrix.txt.gzDatos del estudio21.98 MBUnknownView/Open
xnietomoragasTFM0118memoria.pdfMemoria del TFM3.23 MBAdobe PDFView/Open

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