Breast and Ovarian Cancer Genomics
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- 2022
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Mark
Ovarian Carcinoma - Early Detection and Prognostication
2022) In Lund University, Faculty of Medicine Doctoral Dissertation Series(
- Thesis › Doctoral thesis (compilation)
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Mark
SRIQ clustering : A fusion of Random Forest, QT clustering, and KNN concepts
(
- Contribution to journal › Article
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Mark
RNA sequencing-based single sample predictors of molecular subtype and risk of recurrence for clinical assessment of early-stage breast cancer
(
- Contribution to journal › Article
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Mark
How Reliable Are Gene Expression-Based and Immunohistochemical Biomarkers Assessed on a Core-Needle Biopsy? A Study of Paired Core-Needle Biopsies and Surgical Specimens in Early Breast Cancer
(
- Contribution to journal › Article
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Mark
Copy number signatures for early diagnosis of high-grade serous ovarian carcinoma
2022) “FUTURE PERSPECTIVES IN OVARIAN CANCER RESEARCH”(
- Contribution to conference › Poster
- 2021
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Mark
Protein signature predicts response to neoadjuvant treatment with chemotherapy and bevacizumab in HER2-negative breast cancers
(
- Contribution to journal › Article
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Mark
Regulatory T lymphocyte infiltration in metastatic breast cancer—an independent prognostic factor that changes with tumor progression
(
- Contribution to journal › Article
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Mark
Common Susceptibility Loci for Male Breast Cancer
(
- Contribution to journal › Article
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Mark
Detection of Copy Number Aberration and Tumor Fraction in Archival Cervical Specimens from Ovarian Cancer Patients using Shallow Whole Genome Sequencing.
2021)(
- Contribution to conference › Poster
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Mark
Evaluation of multiple transcriptomic gene risk signatures in male breast cancer
(
- Contribution to journal › Article