TY - JOUR
T1 - Text mining and its potential applications in systems biology
AU - Ananiadou, Sophia
AU - Kell, Douglas B.
AU - Tsujii, Jun ichi
PY - 2006/12
Y1 - 2006/12
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. © 2006 Elsevier Ltd. All rights reserved.
AB - 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. © 2006 Elsevier Ltd. All rights reserved.
U2 - 10.1016/j.tibtech.2006.10.002
DO - 10.1016/j.tibtech.2006.10.002
M3 - Article
C2 - 17045684
SN - 0167-7799
VL - 24
SP - 571
EP - 579
JO - Trends in Biotechnology
JF - Trends in Biotechnology
IS - 12
ER -