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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 [...]

Head and neck squamous cell carcinoma (HNSCC), the sixth most common malignancy worldwide, is a disease with a profoundly high incidence of long-term morbidity as a resul [...]

Patient stratification is essential for addressing breast cancer's inter- and intra-heterogeneity. While the PAM50 classifier is widely regarded to be the gold standard f [...]

The significant inter- and intra-tumor heterogeneity observed in breast cancer patients presents an ongoing challenge that impedes accurate disease characterization and c [...]

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 [...]

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 [...]

Network-based approaches are widely used for analyzing large-scale genomic data and searching for disease driver genes. Diffusion-based approaches are one of the most p [...]

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 [...]

This novel computational framework for the analysis of single-cell gene expression data from human tumor samples enables the identification of molecular activity associat [...]

According to the American Diabetes Association, approximately 30 million Americans were diagnosed with diabetes as of 2012, representing over ten percent of the populatio [...]