标题:Identifying network-based biomarkers of complex diseases from high-throughput data
作者:Liu, Zhi-Ping
作者机构:[Liu, Zhi-Ping] Shandong Univ, Dept Biomed Engn, Sch Control Sci & Engn, Jinan 250061, Shandong, Peoples R China.
通讯作者:Liu, ZP
通讯作者地址:[Liu, ZP]Shandong Univ, Dept Biomed Engn, Sch Control Sci & Engn, Jinan 250061, Shandong, Peoples R China.
来源:BIOMARKERS IN MEDICINE
出版年:2016
卷:10
期:6
页码:633-650
DOI:10.2217/bmm-2015-0035
关键词:bioinformatics; complex disease; high-throughput data; network biomarker
摘要:In this work, we review the main available computational methods of identifying biomarkers of complex diseases from high-throughput data. The emerging omics techniques provide powerful alternatives to measure thousands of molecules in cells in parallel manners. The generated genomic, transcriptomic, proteomic, metabolomic and phenomic data provide comprehensive molecular and cellular information for detecting critical signals served as biomarkers by classifying disease phenotypic states. Networks are often employed to organize these profiles in the identification of biomarkers to deal with complex diseases in diagnosis, prognosis and therapy as well as mechanism deciphering from systematic perspectives. Here, we summarize some representative network-based bioinformatics methods in order to highlight the importance of computational strategies in biomarker discovery.
收录类别:SCOPUS;SCIE
WOS核心被引频次:8
Scopus被引频次:10
资源类型:期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84974633261&doi=10.2217%2fbmm-2015-0035&partnerID=40&md5=b756ad81d815c0137cd53d8524628150
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