Ian Donaldson

1. Contributors 2. Alphabetical listing of the contents 3. Index of titles and first lines of the poems 4. Maps and illustrations 5. Acknowledgements 6. General introduction The General Editors 7. Life of Ben Jonson Ian Donaldson 8. Actors, companies, and playhouses David Bevington 9. The Court Masque Martin Butler 10. Masquers and Tilter Martin Butler 11. The printing and publishing of Ben Jonson's works David L. Gants and Tom Lockwood 12. Abbreviations and common forms of citation 13. Sigla used in the collations 14. The complete works in seven volumes 15. Bibliography Eugene Giddens, Karen Britland, Peter Culhane and Christopher Burlinson.

BACKGROUND: The majority of experimentally verified molecular interaction and biological pathway data are present in the unstructured text of biomedical journal articles where they are inaccessible to computational methods. The Biomolecular interaction network database (BIND) seeks to capture these data in a machine-readable format. We hypothesized that the formidable task-size of backfilling the database could be reduced by using Support Vector Machine technology to first locate interaction information in the literature. We present an information extraction system that was designed to locate protein-protein interaction data in the literature and present these data to curators and the public for review and entry into BIND. RESULTS: Cross-validation estimated the support vector machine's test-set precision, accuracy and recall for classifying abstracts describing interaction information was 92%, 90% and 92% respectively. We estimated that the system would be able to recall up to 60% of all non-high throughput interactions present in another yeast-protein interaction database. Finally, this system was applied to a real-world curation problem and its use was found to reduce the task duration by 70% thus saving 176 days. CONCLUSIONS: Machine learning methods are useful as tools to direct interaction and pathway database back-filling; however, this potential can only be realized if these techniques are coupled with human review and entry into a factual database such as BIND. The PreBIND system described here is available to the public at http://bind.ca. Current capabilities allow searching for human, mouse and yeast protein-interaction information.

Explores early European perceptions and attitudes towards Aboriginal culture as revealed in art, photography & social science; Papers by I. Donaldson and T.J. Donaldson, B.W. Smith, G. Williams, J. Urry D.J. Mulvaney, T.J. Donaldson, M. ...