Biomedical literature mining for text classification and construction of gene networks

被引：0
|
作者：
Antonakaki, Despoina [1 ]
Kanterakis, Alexandros [1 ]
Potamias, George [1 ]
机构：
[1] FORTH, Inst Comp Sci, GR-71110 Iraklion, Crete, Greece
来源：
ADVANCES IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS | 2006年 / 3955卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A multi-layered biomedical literature mining approach is presented aiming to the discovery of gene-gene correlations and the construction of respective gene networks. Utilization of the Trie-memory data structure enables efficient manipulation of different gene nomenclatures. The whole approach is coupled with a texts (biomedical abstracts) classification method. Experimental validation and evaluation results show the rationality, efficiency and reliability of the approach.
引用
收藏
页码：469 / 473
页数：5
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