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Title: | Aplicación y comparativa de cuatro modelos de clustering para datos GTEx |
Author: | López Sánchez, Victoria |
Tutor: | Ventura, Carles |
Others: | Fernández Martínez, Daniel |
Abstract: | Presently TFM, it has been studied and evaluated four different clustering algorithms: coexp method (WGCNA + k-means), k-means conventional and two mixture models. First of all, it will implement all clustering models, search optimum clusters numbers statistical criteria-based as BIC, AIC and elbow method, at last, the final partitions generated by those methods are visualized are compared via external validation metrics (measures). Various clustering comparison measures have been used, counting-based measures as Adjusted Rand index (ARI) and information theoretic-based as Normalized Variation of Information (NVI) and Normalized Distance of Information (NID). |
Keywords: | ARN-seq GCN clustering |
Document type: | info:eu-repo/semantics/masterThesis |
Issue Date: | Jan-2019 |
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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vlopezsanchTFM0119memoria.pdf | Memoria del TFM | 918,1 kB | Adobe PDF | View/Open |
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