Ensemble disease gene prediction by clinical sample-based networks

首页 > 成果 > 详情

认领

导出

下载 Link by 万方学术期刊

反馈

作者信息关键词期刊信息基础信息归属信息摘要

成果类型：

期刊论文

作者：

Luo, Ping;Tian, Li-Ping;Chen, Bolin;Xiao, Qianghua;Wu, Fang-Xiang*

通讯作者：

Wu, Fang-Xiang

作者机构：

[Luo, Ping; Wu, Fang-Xiang] Univ Saskatchewan, Div Biomed Engn, Saskatoon, SK S7N 5A9, Canada.

[Tian, Li-Ping] Beijing Wuzi Univ, Sch Informat, Beijing 101149, Peoples R China.

[Chen, Bolin] Northwestern Polytech Univ, Sch Comp Sci, Xian 710072, Peoples R China.

[Xiao, Qianghua] Univ South China, Sch Math & Phys, Hengyang 421001, Peoples R China.

[Wu, Fang-Xiang] Univ Saskatchewan, Dept Comp Sci, Saskatoon, SK S7N 5C9, Canada.

通讯机构：

[Wu, Fang-Xiang] U

Univ Saskatchewan, Div Biomed Engn, Saskatoon, SK S7N 5A9, Canada.

Univ Saskatchewan, Dept Comp Sci, Saskatoon, SK S7N 5C9, Canada.

语种：

英文

关键词：

Disease gene prediction;Sample-based networks;Ensemble learning;Network centrality;Protein-protein interaction network

期刊：

BMC Bioinformatics

ISSN：

1471-2105

年：

2020

卷：

期：

页码：

1-12

DOI：

10.1186/s12859-020-3346-8

基金类别：

The publication costs are funded by Natural Science and Engineering Research Council of Canada (NSERC).

机构署名：

本校为其他机构

院系归属：

数理学院

摘要：

Background: Disease gene prediction is a critical and challenging task. Many computational methods have been developed to predict disease genes, which can reduce the money and time used in the experimental validation. Since proteins (products of genes) usually work together to achieve a specific function, biomolecular networks, such as the protein-protein interaction (PPI) network and gene co-expression networks, are widely used to predict disease genes by analyzing the relationships between known disease genes and other genes in the networks. ...

反馈

产权有误：本人成果被他人认领

数据有误：数据基本信息有误

归属有误：成果的院系归属、机构署名归属有误

其他原因：

验证码：

看不清楚，换一个

确定

取消

成果认领

标题：

用户	作者	通讯作者	--
	请选择	请选择	--

确定

取消

Ensemble disease gene prediction by clinical sample-based networks

反馈

成果认领

提示

该栏目需要登录且有访问权限才可以访问