Text mining and its potential applications in systems biology.
With biomedical literature increasing at a rate of several thousand papers per week, it is impossible to keep abreast of all developments; therefore, automated means to manage the information overload are required. Text mining techniques, which involve the processes of information retrieval, information extraction and data mining, provide a means of solving this. By adding meaning to text, these techniques produce a more structured analysis of textual knowledge than simple word searches, and can provide powerful tools for the production and analysis of systems biology models.
Ananiadou
Sophia
S
School of Computer Science, National Centre for Text Mining, The Manchester Interdisciplinary Biocentre, The University of Manchester, 131 Princess Street, Manchester M1 7ND, UK. sophia.ananiadou@manchester.ac.uk
Kell
Douglas B
DB
Tsujii
Jun-ichi
J
D001185:Artificial Intelligence; D016247:Information Storage and Retrieval / Q000379:methods*; D008954:Models, Biological; D009323:Natural Language Processing; D011642:Publications; D012107:Research Design; D049490:Systems Biology / Q000379:methods*