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1.
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With the growing value of next generation sequencing (NGS) assays for the determination of minimal residual disease (MRD) in the clinic, the con?dent and sensitive detect [...]
2017 |
Thesis |
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2.
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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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3.
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Due to the complexity of BCR/ABL-independent TKI resistance, a central question is whether relapse acts through the canonical BCR/ABL CML pathways seen in dependent cases [...]
2017 |
Thesis |
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4.
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Malignant brain tumors remain incurable and improving outcomes will require personalized treatment strategies. In personalized medicine, therapeutics are tailored to each [...]
2019 |
Dissertation |
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5.
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Next generation sequencing (NGS) and single-cell sequencing technologies have enabled unparalleled resolution of the cell's molecular machinery; however, gleaning accurat [...]
2021 |
Abstract |
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6.
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Genome-wide polygenic risk scores (PRS) can now predict complex genetic disease risk with nearly the same ability as tests for monogenic diseases. Despite this, there is [...]
2020 |
Dissertation |
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7.
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Recent research shows that microRNAs (miRNAs) may be potential biomarkers of cancer. MiRNAs are noncoding RNA molecules that regulate gene expression in the post-transcri [...]
2020 |
Abstract |
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