Tezt Mining for Bioinformatics: State of the Art Review
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.
tezt mining bioinformatics gene ezpression gene annotation systems biology named entity recognition mirco array analysis
Yanliang Qi Yang Zhang Min Song
Department of Information Systems New Jersey Institute of Technology Newark, NJ 07102, USA Department of Computer Science New Jersey Institute of Technology Newark, NJ 07102, USA
国际会议
北京
英文
398-401
2009-08-08（万方平台首次上网日期，不代表论文的发表时间）