Text Mining Biomedical Literature for Constructing Gene Regulatory Networks

被引：8

作者：

Song, Yong-Ling ^{[1
]}

Chen, Su-Shing ^{[1
,2
]}

机构：

[1] Univ Florida, Dept Comp & Informat Sci & Engn, Gainesville, FL 32611 USA

[2] Chinese Acad Sci, Shanghai Inst Biol Sci, CAS MPG Partner Inst Computat Biol, Shanghai 200031, Peoples R China

来源：

INTERDISCIPLINARY SCIENCES-COMPUTATIONAL LIFE SCIENCES | 2009年 / 1卷 / 03期

关键词：

gene regulatory network; text mining;

D O I：

10.1007/s12539-009-0028-7

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

In this paper, we present the framework of a Gene Regulatory Networks System: GRNS. The goals of GRNS include automatically mining biomedical literature to extract gene regulatory information (strain number, genotype, gene regulatory relation, and phenotype), automatically constructing gene regulatory networks based on extracted information and integrating biomedical knowledge into the regulatory networks.

引用

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页码：179 / 186

页数：8

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