Please use this identifier to cite or link to this item:
http://hdl.handle.net/10609/46081
| Title: | Multivariate methods for the integrative analysis of multi-omics datasets : TCGAome |
| Author: | Riesgo Ferreiro, Pablo |
| Tutor: | Sánchez-Pla, Alex  |
| Others: | Universitat Oberta de Catalunya |
| Abstract: | The objectives of this project are: evaluate the existing state of the art on a selected public dataset, analyze alternatives to include prior biological knowledge in the analysis and explore different visualization approaches to integrative analysis results. |
| Keywords: | omics TCGA bioinformatics biometry |
| Document type: | info:eu-repo/semantics/masterThesis |
| Issue Date: | 5-Feb-2016 |
| Publication license: | http://creativecommons.org/licenses/by/3.0/es/  |
| Appears in Collections: | Trabajos finales de carrera, trabajos de investigación, etc. |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| priesgoTFM0216memoria.pdf | An approach to the multivariate analysis of multiomics (gene and protein expression) datasets from The Cancer Genome Atlas and the inclusion of prior biological knowledge from the Gene Ontology | 4,98 MB | Adobe PDF |  View/Open |
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