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Mining Protein Interactions from Text Using Convolution Kernels
[chapter]
2010
Lecture Notes in Computer Science
As the sizes of biomedical literature databases increase, there is an urgent need to develop intelligent systems that automatically discover Protein-Protein interactions from text. Despite resource-intensive efforts to create manually curated interaction databases, the sheer volume of biological literature databases makes it impossible to achieve significant coverage. In this paper, we describe a scalable hierarchical Support Vector Machine(SVM) based framework to efficiently mine protein
doi:10.1007/978-3-642-14640-4_9
fatcat:7eo7uky5ivee5htr5rgvbdy5ka