Machine Reading for Cancer Panomics - 2015

Explore machine reading techniques for cancer panomics research in this informative lecture by Hoifung Poon from Microsoft Research. Discover how advances in sequencing technology have generated vast amounts of panomics data for cancer research, and learn about the challenges in identifying disease genes and drug targets. Examine the role of biological knowledge, particularly pathways, in constraining the search space and improving signal-to-noise ratios. Delve into the importance of machine reading methods for automating knowledge extraction from the rapidly growing body of scientific literature. Learn about the Literome project and the latest approaches to pathway extraction using grounded semantic parsing. Gain insights from Poon's expertise in machine learning and natural language processing applied to genomics and precision medicine.

Machine Reading for Cancer Panomics – Hoifung Poon (Microsoft Research) -- 2015