Protein Expression Data Improves Gene Function Prediction

被引：0

作者：

Yang, Huadong ^{[1
]}

Song, Xiaofeng ^{[1
]}

Guo, Xuejiang ^{[2
]}

机构：

[1] Nanjing Univ Aeronaut & Astronaut, Dept Biomed Engn, Nanjing 210016, Jiangsu, Peoples R China

[2] Nanjing Med Univ, Dept Histol & Embryol, State Key Lab Reprod Med, Nanjing 210029, Jiangsu, Peoples R China

来源：

2016 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM) | 2016年

基金：

中国国家自然科学基金;

关键词：

bioinformatics; function prediction; protein expression; ONTOLOGY; NETWORK;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Biological science has stepped into systems biology era, but many genes function is still unknown. With the development of high throughput experiment, large biological information(RNA-Seq, interaction network) is fully used to predict gene function. As the main biological actor, protein expression is closer with the gene functions. The human protein expression obtained from mass spectrometry[1], together with multiple omics data, can improve genes functions prediction.

引用

页码：1869 / 1870

页数：2

共 8 条

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