Predicted Arabidopsis Interactome Resource-A Network Modeling Method of Integration and Analysis for the Omics Data

被引：0

作者：

Yao, Heng ^{[1
]}

Chen, Xin ^{[1
]}

Wang, Xiaoxuan ^{[1
]}

机构：

[1] Zhejiang Univ, Inst Pharmaceut Biotechnol, 866 Yuhangtang Rd, Hangzhou, Zhejiang, Peoples R China

来源：

PROCEEDINGS OF THE 2017 INTERNATIONAL CONFERENCE ON APPLIED MATHEMATICS, MODELING AND SIMULATION (AMMS 2017) | 2017年 / 153卷

基金：

中国国家自然科学基金;

关键词：

omics annotation; arabidopsis; functional interaction network; analysis method; SIMILARITY; ANNOTATION; PROTEINS;

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：

The Predicted Arabidopsis Interactome Resource (PAIR) is an online database of the functional interactions between Arabidopsis genes. PAIR is inferred by integrating six types of evidence each of which suggests a different aspect of functional associations between Arabidopsis genes and therefore enables extended analysis on the potential functional impacts of the observed omics changes at the physiological level.

引用

页码：110 / 113

页数：4

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