Mining pathway associations for disease-related pathway activity analysis based on gene expression and methylation data

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• 作者：Hyeonjeong Lee ; Miyoung Shin
• 关键词：Biomarker discovery ; Gene expression analysis ; Pathway association mining ; Pathway ; set markers ; Pathway association network
• 刊名：BioData Mining
• 出版年：2017
• 出版时间：December 2017
• 年：2017
• 卷：10
• 期：1
• 全文大小：2947KB
• 刊物主题：Computer Appl. in Life Sciences; Computational Biology/Bioinformatics; Data Mining and Knowledge Discovery; Bioinformatics; Algorithms;
• 出版者：BioMed Central
• ISSN：1756-0381
• 卷排序：10

文摘

BackgroundThe problem of discovering genetic markers as disease signatures is of great significance for the successful diagnosis, treatment, and prognosis of complex diseases. Even if many earlier studies worked on identifying disease markers from a variety of biological resources, they mostly focused on the markers of genes or gene-sets (i.e., pathways). However, these markers may not be enough to explain biological interactions between genetic variables that are related to diseases. Thus, in this study, our aim is to investigate distinctive associations among active pathways (i.e., pathway-sets) shown each in case and control samples which can be observed from gene expression and/or methylation data.