Title :
Text Mining for Bioinformatics: State of the Art Review
Author :
Qi, Yanliang ; Zhang, Yang ; Song, Min
Author_Institution :
Dept. of Inf. Syst., New Jersey Inst. of Technol., Newark, NJ, USA
Abstract :
Biomedical literatures have been increased at the exponential rate. To find the useful and needed information from such a huge data set is a daunting task for users. Text mining is a powerful tool to solve this problem. In this paper, we surveyed on text mining in Bioinformatics with emphasis on applications of text mining for bioinformatics. In this paper, the main research directions of text mining in bioinformatics are accompanied with detailed examples. This paper suited the need for the state-of-the-art of the field of text mining in Bioinformatics because of the rapid development in both text mining and bioinformatics. Finally, the problems and future way are identified at last.
Keywords :
bioinformatics; data mining; text analysis; bioinformatics; biomedical literatures; data set; main research directions; text mining; Bioinformatics; Biology computing; Computer science; Data mining; Gene expression; Information retrieval; Information systems; Relational databases; Systems biology; Text mining; bioinformatics; gene annotation; gene expression; mirco array analysis; named entity recognition; systems biology; text mining;
Conference_Titel :
Computer Science and Information Technology, 2009. ICCSIT 2009. 2nd IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-4519-6
Electronic_ISBN :
978-1-4244-4520-2
DOI :
10.1109/ICCSIT.2009.5234922