Identifying novel biomarkers through data mining-A realistic scenario?

被引：16

作者：

Griss, Johannes ^{[1
,2
]}

Perez-Riverol, Yasset ^{[1
]}

Hermjakob, Henning ^{[1
]}

Vizcaino, Juan Antonio ^{[1
]}

机构：

[1] European Bioinformat Inst EMBL EBI, European Mol Biol Lab, Cambridge, England

[2] Med Univ Vienna, Dept Dermatol, Div Immunol Allergy & Infect Dis, A-1090 Vienna, Austria

来源：

PROTEOMICS CLINICAL APPLICATIONS | 2015年 / 9卷 / 3-4期

基金：

英国生物技术与生命科学研究理事会; 英国惠康基金;

关键词：

Bioinformatics; Biomarker; Databases; Data mining; Mass spectrometry; HUMAN PROTEOME; IDENTIFICATION;

D O I：

10.1002/prca.201400107

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

In this article we discuss the requirements to use data mining of published proteomics datasets to assist proteomics-based biomarker discovery, the use of external data integration to solve the issue of inadequate small sample sizes and finally, we try to estimate the probability that new biomarkers will be identified through data mining alone.

引用

页码：437 / 443

页数：7

共 37 条

[1] The Biology/Disease-driven Human Proteome Project (B/D-HPP): Enabling Protein Research for the Life Sciences Community [J].