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BACKGROUND Amplification and activating mutations of the epidermal growth factor receptor (EGFR) oncogene are molecular hallmarks of glioblastomas. We hypothesized that deletion of NFKBIA (encoding nuclear factor of κ-light polypeptide gene enhancer in B-cells inhibitor-α), an inhibitor of the EGFR-signaling pathway, promotes tumorigenesis in glioblastomas(More)
A Saskatchewan multi-incident family was clinically characterized with Parkinson disease (PD) and Lewy body pathology. PD segregates as an autosomal-dominant trait, which could not be ascribed to any known mutation. DNA from three affected members was subjected to exome sequencing. Genome alignment, variant annotation and comparative analyses were used to(More)
Tissue-specific alternative splicing is critical for the emergence of tissue identity during development, yet the role of this process in malignant transformation is undefined. Tissue-specific splicing involves evolutionarily conserved, alternative exons that represent only a minority of the total alternative exons identified. Many of these conserved exons(More)
This study describes how melanoma patients used the Internet as a melanoma information source and how it impacted their clinical encounter and treatment decision. From 2010 to 2013, melanoma patients were invited to complete a 23-question paper survey with open- and close-ended questions. Thirty-one of the 62 patients approached completed the survey. The(More)
Cancer patients are increasingly using the Internet to learn about their disease, connect with others undergoing similar treatments and obtain support outside of the clinical encounter. The goal of this project was to explore how patients with gynecological cancers (ovarian, cervical, and endometrial) used the Internet as an information resource and how(More)
We consider three problems in machine learning: concept learning in the PAC model mobile robot environment learning learning-based approaches to protein structure prediction In the PAC framework, we give an eecient algorithm for learning any function on k terms by general DNF. On the other hand, we show that in a well-studied restriction of the PAC model(More)
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