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September 2015

Machine Reading for Cancer Panomics – Hoifung Poon (Microsoft Research)

September 11 @ 12:00 PM - 1:15 PM
Hackerman B17,
3400 North Charles Street
Baltimore, MD 21218 United States
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Abstract Advances in sequencing technology have made available a plethora of panomics data for cancer research, yet the search for disease genes and drug targets remains a formidable challenge. Biological knowledge such as pathways can play an important role in this quest by constraining the search space and boosting the signal-to-noise ratio. The majority of knowledge resides in text such as journal articles, which has been undergoing its own explosive growth, making it mandatory to develop machine reading methods for…

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