Treballs Fi de MàsterEnginyeria Informàtica i Matemàtiques

Innovative Statistical Frameworks for Enhanced V(D)J Repertoire Analysis

  • Identification data

    Identifier:  TFM:2413
    Handle: https://hdl.handle.net/20.500.11797/TFM2413
    Authors:  Moro Borrego, Joel
    Abstract:
    This master's thesis investigates single-cell proteomics, focusing on macrophages and their roles in immune defense and inflammation. It reviews current methods, performs a meta-analysis comparing bulk and single-cell datasets, and explores cellular heterogeneity to identify key proteins and pathways. The work collaborates with CICS at Brigham and Women's Hospital, aiming to enhance our understanding of cellular behavior.

  • Others:

    Entity: Universitat Rovira i Virgili (URV)
    Confidenciality: No
    Student: Moro Borrego, Joel
    Education area(s): Ciència de Dades Biomèdiques
    APS: No
    Department: Enginyeria Informàtica i Matemàtiques
    Creation date in repository: 2026-06-30
    Subject: Bioinformàtica
    Academic year: 2024-2025
    Work's public defense date: 2025-01-30
    Access Rights: info:eu-repo/semantics/openAccess
    Project director: Matamalas Llordà, Joan Tomàs

  • Keywords:

    Single-cell sequencing
    V(D)J reconstruction
    bioinformatics
    Health sciences

  • Documents:

    Memòria

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