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        - 2025
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                        Mark
        Dynamic methylation and expression of alternative promoters for oestrogen receptor alpha in cell line models of fulvestrant resistance
    
    - Contribution to journal › Article
 
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                        Mark
        Global Transcriptional Complexity of Estrogen Receptor Low Positive Breast Cancers in a Prospective Swedish Population-based SCAN-B Cohort
    (2025) In Clinical cancer research : an official journal of the American Association for Cancer Research 31(13). p.2695-2709- Contribution to journal › Article
 
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                        Mark
        Genomic characterization of the HER2-enriched intrinsic molecular subtype in primary ER-positive HER2-negative breast cancer
    
    - Contribution to journal › Article
 
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                        Mark
        The DNA methylation landscape of primary triple-negative breast cancer
    
    - Contribution to journal › Article
 
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                        Mark
        High tumor expression of CTLA4 identifies lymph node-negative basal-like breast cancer patients with excellent prognosis
    
    - Contribution to journal › Article
 
- 2024
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                        Mark
        Development and prognostic validation of a three-level NHG-like deep learning-based model for histological grading of breast cancer
    
    - Contribution to journal › Article
 
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                        Mark
        Prediction of gene expression-based breast cancer proliferation scores from histopathology whole slide images using deep learning
    
    - Contribution to journal › Article
 
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                        Mark
        High Caveolin-1 mRNA expression in triple-negative breast cancer is associated with an aggressive tumor microenvironment, chemoresistance, and poor clinical outcome
    
    - Contribution to journal › Article
 
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                        Mark
        Caveolin-1 gene expression provides additional prognostic information combined with PAM50 risk of recurrence (ROR) score in breast cancer
    
    - Contribution to journal › Article
 
- 2023
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                        Mark
        Improved detection of clinically relevant fusion transcripts in cancer by machine learning classification
    
    - Contribution to journal › Article
 
