Publication: Generic Information Can Retrieve Known Biological Associations: Implications for Biomedical Knowledge Discovery

Weighted semantic networks built from text-mined literature can be used to retrieve known protein-protein or gene-disease associations, and have been shown to anticipate associations years before they are explicitly stated in the literature. Our text-mining system recognizes over 640,000 biomedical concepts: some are specific (i.e., names of genes or proteins) others generic (e.g., ‘Homo sapiens’). Read more about Publication: Generic Information Can Retrieve Known Biological Associations: Implications for Biomedical Knowledge Discovery[…]

Publication: The Value of Data

Data citation and the derivation of semantic constructs directly from datasets have now both found their place in scientific communication. The social challenge facing us is to maintain the value of traditional narrative publications and their relationship to the datasets they report upon while at the same time developing appropriate metrics for citation of data Read more about Publication: The Value of Data[…]