Text mining and its potential applications in systems biology.

@article{citeulike:907397, abstract = {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.}, address = {School of Computer Science, National Centre for Text Mining, The Manchester Interdisciplinary Biocentre, The University of Manchester, 131 Princess St, Manchester M1 7ND, UK; National Centre for Text Mining, The Manchester Interdisciplinary Biocentre, The University of Manchester, 131 Princess St, Manchester M1 7ND, UK.}, author = {Ananiadou, Sophia and Kell, Douglas B B. and Tsujii, Jun-Ichi I. }, citeulike-article-id = {907397}, doi = {http://dx.doi.org/10.1016/j.tibtech.2006.10.002}, issn = {0167-7799}, journal = {Trends Biotechnol}, keywords = {bionlp, systemsbiology}, month = {October}, posted-at = {2006-10-27 10:21:47}, priority = {2}, title = {Text mining and its potential applications in systems biology.}, url = {http://dx.doi.org/10.1016/j.tibtech.2006.10.002}, year = {2006} }

TY - JOUR ID - citeulike:907397 L3 - citeulike-article-id:907397 TI - Text mining and its potential applications in systems biology. JF - Trends Biotechnol AD - School of Computer Science, National Centre for Text Mining, The Manchester Interdisciplinary Biocentre, The University of Manchester, 131 Princess St, Manchester M1 7ND, UK; National Centre for Text Mining, The Manchester Interdisciplinary Biocentre, The University of Manchester, 131 Princess St, Manchester M1 7ND, UK. SN - 0167-7799 N2 - 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. KW - bionlp KW - systemsbiology AU - Ananiadou, Sophia AU - Kell, Douglas B AU - Tsujii, Jun-Ichi PY - 2006/10/11/ UR - http://dx.doi.org/10.1016/j.tibtech.2006.10.002 ER -