An interaction pattern kernel approach for protein-protein interaction extraction from biomedical literature

Yung Chun Chang, Yu Chen Su, Nai Wen Chang, Wen Lian Hsu

研究成果: 雜誌貢獻文章同行評審

1 引文 斯高帕斯(Scopus)

摘要

Discovering the interactions between proteins mentioned in biomedical literature is one of the core topics of text mining in the life sciences. In this paper, we propose an interaction pattern generation approach to capture frequent PPI patterns in text. We also present an interaction pattern tree kernel method that integrates the PPI pattern with convolution tree kernel to extract protein-protein interactions. Empirical evaluations on LLL, IEPA, and HPRD50 corpora demonstrate that our method is effective and outperforms several wellknown PPI extraction methods.
原文英語
頁(從 - 到)36-46
頁數11
期刊Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
8916
出版狀態已發佈 - 2014
對外發佈

ASJC Scopus subject areas

  • 理論電腦科學
  • 電腦科學(全部)

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