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Margarita Souleimanova

McGill University

19

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533

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Predicting Relapse in Patients With Triple Negative Breast Cancer (TNBC) Using a Deep-Learning Approach

2020 Frontiers in Physiology
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Abstract PO-080: Predicting relapse in patients with triple negative breast cancer (TNBC) using a deep-learning approach

2020 Cancer Research
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Chemogenomic profiling of breast cancer patient-derived xenografts reveals targetable vulnerabilities for difficult-to-treat tumors.

2020
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Identification of stromal genes differentially expressed in lobular breast cancer highlights role for pregnancy-associated-plasma protein-A

2020 bioRxiv
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Identification of interacting stromal axes in triple-negative breast cancer

2017 Cancer Research
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Abstract A15: Mechanisms of CD8+ T cell immunosuppression in triple negative breast cancer

2016 Cancer Research
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Abstract 720: Novel prognostic stromal subtypes in triple-negative breast cancer

2016 Cancer Research
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Abstract A79: Mouse models of breast cancer identify oncogene-associated stroma subtypes

2015 Cancer Research
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Abstract P4-04-01: A new breast cancer classification scheme based on novel classes of tumor stroma

2015 Cancer Research
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Abstract LB-129: Identifying tumor subpopulations and the functional consequences of intratumor heterogeneity using single-cell profiling of breast cancer patient-derived xenografts

2015 Cancer Research
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