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- 2022
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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 › Published meeting abstract
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Mark
Systematically higher Ki67 scores on core biopsy samples compared to corresponding resection specimen in breast cancer: a multi-operator and multi-institutional study
- Contribution to journal › Article
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Mark
Pilot study to evaluate tools to collect pathologist annotations for validating machine learning algorithms
- Contribution to journal › Article
-
Mark
The Prognostic Role of Intratumoral Stromal Content in Lobular Breast Cancer
- Contribution to journal › Article
-
Mark
Development of Training Materials for Pathologists to Provide Machine Learning Validation Data of Tumor-Infiltrating Lymphocytes in Breast Cancer
- Contribution to journal › Article
-
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
-
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
- 2021
-
Mark
An Open Source, Automated Tumor Infiltrating Lymphocyte Algorithm for Prognosis in Triple-Negative Breast Cancer
- Contribution to journal › Article
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Mark
Preexisting Somatic Mutations of Estrogen Receptor Alpha (ESR1) in Early-Stage Primary Breast Cancer
- Contribution to journal › Article
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Mark
Molecular analyses of triple-negative breast cancer in the young and elderly
- Contribution to journal › Article
