Background: Text mining has spurred huge interest in the domain of biology. The goal of the BioCreAtIvE exercise was to evaluate the performance of current text mining systems. We...
Background: Automated protein function prediction methods are needed to keep pace with high-throughput sequencing. With the existence of many programs and databases for inferring ...
Cancer-related investigations have long been in the limelight of biomedical research. Years of effort from scientists and doctors worldwide have generated large amounts of data at...
Hong Li, Ying He, Guohui Ding, Chuan Wang, Lu Xie,...
Background: Cellular processes require the interaction of many proteins across several cellular compartments. Determining the collective network of such interactions is an importa...
Harold J. Drabkin, Christopher Hollenbeck, David P...
Background: Gene/protein recognition and normalization are important preliminary steps for many biological text mining tasks, such as information retrieval, protein-protein intera...