Associating genes with gene ontology codes using a maximum entropy analysis of biomedical literature.

@article{Raychaudhuri2002AssociatingGW,
  title={Associating genes with gene ontology codes using a maximum entropy analysis of biomedical literature.},
  author={Soumya Raychaudhuri and Jeffrey T. Chang and Patrick D. Sutphin and Russ B. Altman},
  journal={Genome research},
  year={2002},
  volume={12 1},
  pages={203-14}
}
Functional characterizations of thousands of gene products from many species are described in the published literature. These discussions are extremely valuable for characterizing the functions not only of these gene products, but also of their homologs in other organisms. The Gene Ontology (GO) is an effort to create a controlled terminology for labeling gene functions in a more precise, reliable, computer-readable manner. Currently, the best annotations of gene function with the GO are… CONTINUE READING