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TITLE:
Integration of multi-omics data for cancer subtype identification - TFG:7139
Handle: https://hdl.handle.net/20.500.11797/TFG7139

Student:Olomí Farré, Adrià
Language:en
Title in original language:Integration of multi-omics data for cancer subtype identification
Keywords:Bioinformatics, Omics data integration, Clusterization
Subject:Bioinformàtica
Abstract:Advances in high-throughput technologies allow detailed measurement of various omics data, enabling the development of new methods to address biological questions such as cancer patient classification. State-of-the-art methods like Similarity Fusion Network (SNFtool), iClusterPlus, Perturbation Clustering for Data Integration and Disease Subtyping Plus (PINS+), and Consensus Clustering Plus (CC+) are powerful but not always able to correctly subtype data. A workflow that integrates these existing subtyping methods improves the classification of cancer patients. Future efforts should focus on standardizing omics databases and enhancing integration methods by optimizing parameters or developing new approaches.
Project director:Valls Mateu, Aïda
Department:Enginyeria Informàtica i Matemàtiques
Education area(s):Enginyeria Informàtica
Entity:Universitat Rovira i Virgili (URV)
Creation date in repository:2024-06-14
Work's public defense date:2023-09-15
Academic year:2022-2023
Confidenciality:No
Subject areas:Computer engineering
Access rights:info:eu-repo/semantics/openAccess
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