Dry JR, Pavey S, Pratilas CA, Harbron C, Runswick S, Hodgson D, Chresta C, McCormack R, Byrne N, Cockerill M, Graham A, Beran G, Cassidy A, Haggerty C, Brown H, Ellison G, Dering J, Taylor BS, Stark M, Bonazzi V, Ravishankar S, Packer L, Xing F, Solit DB, Finn RS, Rosen N, Hayward NK, French T, Smith PD.
Cancer Res. 2010 Mar 15; 70(6):2264-73
The CALBC Silver Standard Corpus - Harmonizing multiple semantic annotations in a large biomedical corpus
Rebholz-Schuhmann D, Jimeno Yepes AJ, Van Mulligen EM, Kang N, Kors J, Milward D, Corbett P, Hahn U.
Proc 3rd Int Symp Languages Biology Medicine. 2009 Nov; pp64-72
Bandy J, Milward D, McQuay S.
Methods Mol Biol. 2009; 563:3-13
Natural language processing (NLP) technology can be used to rapidly extract protein-protein interactions from large collections of published literature. In this chapter we will work through a case study using MEDLINE biomedical abstracts (1) to find how a specific set of 50 genes interact with each other.
Roberts PM, Hayes WS.
Pac Symp Biocomput. 2008:pp592-603
Drug development generates information needs from groups throughout a company. Knowing where to look for high-quality information is essential for minimizing costs and remaining competitive.