CPAS: a trans-omics pathway analysis tool for jointly analyzing DNA copy number variations and mRNA expression profiles data.
作者： Feng Zhang , Xiao Xiao , Jingcan Hao , Sen Wang , Yan Wen
DOI: 10.1016/J.JBI.2014.12.012
关键词:
摘要: Pathway-based analysis approaches provide additional insights into the pathogenesis of complex diseases. Copy number variations (CNVs) play an important role in gene expression regulation. Joint pathway CNVs and data should more useful information for revealing molecular mechanism To implement trans-omics genome-wide mRNA profiles data, we extended set enrichment algorithm developed a flexible tool CPAS. CPAS was by C to interface with R efficient analysis. CNV-gene pathway-gene annotation files derived from public database were included We hope that could help identify disease-relevant biological pathways undetectable using traditional single-omic approaches.
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