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Center for Nonlinear Studies |
The biomedical literature is a tremendously rich source of biomedical knowledge. It is, however, becoming increasingly challenging for biomedical researchers to keep up with this literature due to the exponential growth in publication and the simultaneous breakdown of disciplinary boundaries. While tools to find relevant literature are improving, and natural language processing can play an important role in concept-based indexing of the literature, there is also tremendous value in supporting biomedical knowledge discovery from the literature more directly; i.e. to utilize text mining techniques to support analysis of biological data sets. I will specifically discuss our efforts to support protein function prediction with evidence from the literature, as well as the use of information extracted from the literature in the context of analysis and interpretation of results derived from genome-scale experiments.
Host: Mike Wall, CNLS, mewall@lanl.gov