Identification of glioblastoma gene prognosis modules based on weighted gene co-expression network analysis
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چکیده
منابع مشابه
Weighted gene co-expression network analysis in identification of endometrial cancer prognosis markers.
OBJECTIVE Endometrial cancer (EC) is the most common gynecologic malignancy. Identification of potential biomarkers of EC would be helpful for the detection and monitoring of malignancy, improving clinical outcomes. METHODS The Weighted Gene Co-expression Network Analysis method was used to identify prognostic markers for EC in this study. Moreover, underlying molecular mechanisms were charac...
متن کاملA general framework for weighted gene co-expression network analysis.
Gene co-expression networks are increasingly used to explore the system-level functionality of genes. The network construction is conceptually straightforward: nodes represent genes and nodes are connected if the corresponding genes are significantly co-expressed across appropriately chosen tissue samples. In reality, it is tricky to define the connections between the nodes in such networks. An...
متن کاملMODA: MOdule Differential Analysis for weighted gene co-expression network
Gene co-expression network differential analysis is designed to help biologists understand gene expression patterns under different conditions. We have implemented an R package called MODA (Module Differential Analysis) for gene co-expression network differential analysis. Based on transcriptomic data, MODA can be used to estimate and construct condition-specific gene co-expression networks, an...
متن کاملIdentification of Prognostic Genes in Her2-enriched Breast Cancer by Gene Co-Expression Net-work Analysis
Introduction: HER2-enriched subtype of breast cancer has a worse prognosis than luminal subtypes. Recently, the discovery of targeted therapies in other groups of breast cancer has increased patient survival. The aim of this study was to identify genes that affect the overall survival of this group of patients based on a systems biology approach. Methods: Gene expression data and clinical infor...
متن کاملBiomarkers identification for acute myocardial infarction detection via weighted gene co-expression network analysis
The study aimed to seek potential biomarkers for acute myocardial infarction (AMI) detection and treatment.The dataset GSE48060 was used, consisting of 52 peripheral blood samples (31 AMI samples and 21 normal controls). By limma package, differentially expressed genes (DEGs) between 2 kinds of samples were identified, followed by enrichment analysis, subpathway analysis, protein-protein intera...
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ژورنال
عنوان ژورنال: BMC Medical Genomics
سال: 2018
ISSN: 1755-8794
DOI: 10.1186/s12920-018-0407-1