title: Gene Co-expression analysis predicts genetic aberration loci associated with colon cancer metastasis.
abstract: Gene Co-expression Network (GCN) analysis has been widely used for gene function and disease biomarker discovery. In this study, we present a workflow for identifying GCN associated with colon cancer metastasis. The workflow includes dense network discovery from weighted GCN followed by network activity analysis using a mutual information-based approach to identify gene networks related to metastasis. Our findings suggest several genomic regions as genetic aberrations related to colon cancer malignancy including chr11q13, 20q13, 8q24 and 14q22-23. Our work also demonstrates a novel way of interpreting gene co-expression analysis results besides functional relationships and the effectiveness of the mutual information based network analysis in detecting subtle changes between different disease states.
authors: The Ohio State University, Columbus, OH 43201, USA. jie.zhang@osumc.edu
authors: Jie
authors: J
authors: Zhang
authors: Shiwei
authors: S
authors: Ni
authors: Yang
authors: Y
authors: Xiang
authors: Jeffrey D
authors: JD
authors: Parvin
authors: Yufeng
authors: Y
authors: Yang
authors: Yongjian
authors: Y
authors: Zhou
authors: Kun
authors: K
authors: Huang
mesh_terms: D000465:Algorithms; D016022:Case-Control Studies; D003110:Colonic Neoplasms / Q000235:genetics* / Q000378:metabolism / Q000473:pathology*; D019295:Computational Biology / Q000379:methods*; D056915:DNA Copy Number Variations; D030541:Databases, Genetic; D020869:Gene Expression Profiling / Q000379:methods*; D015972:Gene Expression Regulation, Neoplastic; D053263:Gene Regulatory Networks; D056426:Genetic Loci; D006801:Humans; D009362:Neoplasm Metastasis