Machine Learning Approach for Predicting Wall Shear Distribution for Abdominal Aortic Aneurysm and Carotid Bifurcation Models von Jordanski, Milos, Radovic, Milos, Milosevic, Zarko, Filipovic, Nenad, Obradovic, Zoran

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Improved detection of gene fusions by applying statistical methods reveals oncogenic RNA cancer drivers von Dehghannasiri, Roozbeh, Freeman, Donald E., Jordanski, Milos, Hsieh, Gillian L., Damljanovic, Ana, Lehnert, Erik, Salzman, Julia

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Abstract 5386: The Seven Bridges Cancer Genomics Cloud: Enabling reproducible and cost-effective analysis in the cloud von Jordanski, Milos, Bierman, Robert, Lehnert, Erik, Damljanovic, Ana, Freeman, Eric, Hsieh, Gillian, Salzman, Julia

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Abstract 2468: Towards precise and cost-effective fusion discovery: A landscape of druggable gene fusions across TCGA cancers von Dehghannasiri, Roozbeh, Jordanski, Milos, Freeman, Donald E., Hsieh, Gillian L., Howard, Jonathan M., Lehnert, Erik, Salzman, Julia

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Machine Learning Approach for Predicting Wall Shear Distribution for Abdominal Aortic Aneurysm and Carotid Bifurcation Models von Jordanski, Milos, Radovic, Milos, Milosevic, Zarko, Filipovic, Nenad, Obradovic, Zoran

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