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1.
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This novel computational framework for the analysis of single-cell gene expression data from human tumor samples enables the identification of molecular activity associat [...]
2024-09-18 |
Dissertation |
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2.
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The significant inter- and intra-tumor heterogeneity observed in breast cancer patients presents an ongoing challenge that impedes accurate disease characterization and c [...]
2024 |
Abstract |
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3.
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Tight regulation of the proliferative status of intestinal stem cells is critical for establishing a functional epithelial layer during development, a homeostatic state i [...]
2024 |
Abstract |
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4.
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Immune checkpoint inhibitors have shown success in treating a subset of patients with certain late-stage cancers. However, these treatments fail in many other patients, d [...]
2024 |
Abstract |
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5.
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Immune checkpoint inhibitors have shown success in treating a subset of patients with certain late-stage cancers. However, these treatments fail in many other patients, d [...]
2023-08-18 |
Abstract |
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6.
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Abnormal splicing events can promote drug resistance in a variety of cancer types, however, the full extent of genome-wide splicing in therapy-resistant AML is not fully [...]
2020 |
Abstract |
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7.
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The work presented in this dissertation focuses on the development of robust deep learning models to predict in-vitro cancer drug responses, with utility in precision onc [...]
2024-09-19 |
Dissertation |
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