Event extraction for gene regulation network using syntactic and semantic approaches

Wen Juan Hou*, Bamfa Ceesay

*此作品的通信作者

研究成果: 書貢獻/報告類型會議論文篇章

5 引文 斯高帕斯(Scopus)

摘要

Gene Regulation Network (GRN) is a graphical representation of the relationship between molecular mechanisms and cellular behavior in system biology. This paper examines the extraction of GRN from biological literatures using text mining techniques. The study proposes two independent methods first, a syntactic method and a semantic method in text mining, to extract biological events from the unstructured text. The paper presents the performance of the two methods and then experiments with the combined strategy to construct a gene regulation network from texts. The results show that the graph-based approach obtains a better result on event extraction and produces a much better regulation network than the semantic analysis method. The combination of the two approaches has yet a much slightly better result than that with the individual approach. This exhilarates us to find more future directions in the biological event extraction research.

原文英語
主出版物標題Current Approaches in Applied Artificial Intelligence - 28th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2015, Proceedings
編輯Chang-Hwan Lee, Yongdai Kim, Young Sig Kwon, Juntae Kim, Moonis Ali
發行者Springer Verlag
頁面559-570
頁數12
ISBN(列印)9783319190655
DOIs
出版狀態已發佈 - 2015
事件28th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2015 - Seoul, 大韓民國
持續時間: 2015 6月 102015 6月 12

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
9101
ISSN(列印)0302-9743
ISSN(電子)1611-3349

其他

其他28th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2015
國家/地區大韓民國
城市Seoul
期間2015/06/102015/06/12

ASJC Scopus subject areas

  • 理論電腦科學
  • 一般電腦科學

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