Text mining for bioinformatics: State of the art review
Document Type
Conference Proceeding
Publication Date
11-12-2009
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. © 2009 IEEE.
Identifier
70449088999 (Scopus)
ISBN
[9781424445196]
Publication Title
Proceedings 2009 2nd IEEE International Conference on Computer Science and Information Technology Iccsit 2009
External Full Text Location
https://doi.org/10.1109/ICCSIT.2009.5234922
First Page
398
Last Page
401
Recommended Citation
Qi, Yanliang; Zhang, Yang; and Song, Min, "Text mining for bioinformatics: State of the art review" (2009). Faculty Publications. 11863.
https://digitalcommons.njit.edu/fac_pubs/11863