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Weighted gene co-expression network analysis for hub genes in colorectal cancer
Pharmacological Reports, 2023This study is designed to explore hub genes participating in colorectal cancer (CRC) development through weighted gene co-expression network analysis (WGCNA).Expression profiles of CRC and normal samples were retrieved from the Gene Expression Omnibus (GEO) and the Cancer Genome Atlas (TCGA), and were subjected to WGCNA to filter differentially ...
Zheng Xu, Jianing Wang, Guosheng Wang
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A Genetic Algorithm to Optimize Weighted Gene Co-Expression Network Analysis
Journal of Computational Biology, 2019Weighted gene co-expression network analysis (WGCNA) is a widely used software tool that is used to establish relationships between phenotypic traits and gene expression data. It generates gene modules and then correlates their first principal component to phenotypic traits, proposing a functional relationship expressed by the correlation coefficient ...
David Toubiana, Rami Puzis, Avi Sadka
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Identifying key genes in rheumatoid arthritis by weighted gene co‐expression network analysis
International Journal of Rheumatic Diseases, 2017AbstractPurposeThis study aimed to identify rheumatoid arthritis (RA) related genes based on microarray data using the WGCNA (weighted gene co‐expression network analysis) method.MethodsTwo gene expression profile datasets GSE55235 (10 RA samples and 10 healthy controls) and GSE77298 (16 RA samples and seven healthy controls) were downloaded from Gene ...
Kerun Niu
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3 Biotech, 2021
Folates are essential elements for human growth and development, and their deficiency can lead to serious disorders. Waxy maize is a rich source of folates; however, the regulatory mechanism underlying folate biosynthesis in the endosperm remains unclear.
Lili Song +9 more
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Folates are essential elements for human growth and development, and their deficiency can lead to serious disorders. Waxy maize is a rich source of folates; however, the regulatory mechanism underlying folate biosynthesis in the endosperm remains unclear.
Lili Song +9 more
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A General Framework for Weighted Gene Co-Expression Network Analysis
Statistical Applications in Genetics and Molecular Biology, 2005Gene 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.
Zhang, Bin, Horvath, Steve
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Novel biomarkers identified by weighted gene co-expression network analysis for atherosclerosis
Herz, 2023This study aimed to screen out the potential diagnostic biomarkers for atherosclerosis (AS).We downloaded the gene expression profiles GSE66360, GSE28829, GSE41571, GSE71226, and GSE100927 from the Gene Expression Omnibus (GEO) database. The differentially expressed genes (DEGs) were identified using the "limma" package in R.
Jiajun, Ni +4 more
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Journal of Cellular Biochemistry, 2017
ABSTRACTOsteosarcoma is the eighth‐most common form of childhood cancer, comprising about 20% of all primary bone cancers. To date, systemic co‐expression analysis for this cancer is still insufficient to explain the pathogenesis of poorly understood OC.
Xiangsheng Liu +3 more
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ABSTRACTOsteosarcoma is the eighth‐most common form of childhood cancer, comprising about 20% of all primary bone cancers. To date, systemic co‐expression analysis for this cancer is still insufficient to explain the pathogenesis of poorly understood OC.
Xiangsheng Liu +3 more
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[Analysis of sepsis-related genes through weighted gene co-expression network].
Zhonghua wei zhong bing ji jiu yi xue, 2021To identify the Key genes in the development of sepsis through Weighted Gene Co-Expression Network Analysis (WGCNA).The gene expression dataset GSE154918 was downloaded from the public database Gene Expression Omnibus (GEO) database, which containes data from 105 microarrays of 40 control cases, 12 cases of asymptomatic infection, 39 cases of sepsis ...
Changqin, Chen +4 more
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Computers in biology and medicine, 2023
The purpose of this study was using bioinformatics tools to identify biomarkers and molecular factors involved in the diagnosis of colorectal cancer, which are effective for the diagnosis and treatment of the disease.We determined differentially expressed genes (DEGs) related to colorectal cancer (CRC) using the data series retrieved from GEO database.
Mahdie, Mortezapour +4 more
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The purpose of this study was using bioinformatics tools to identify biomarkers and molecular factors involved in the diagnosis of colorectal cancer, which are effective for the diagnosis and treatment of the disease.We determined differentially expressed genes (DEGs) related to colorectal cancer (CRC) using the data series retrieved from GEO database.
Mahdie, Mortezapour +4 more
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Journal of Cellular Biochemistry, 2019
AbstractHepatocellular carcinoma (HCC) is a highly malignant tumor found in the bile duct epithelial cells, and the second most common tumor of the liver. However, the pivotal roles of most molecules of tumorigenesis in HCC are still unclear. Hence, it is essential to detect the tumorigenic mechanism and develop novel prognostic biomarkers for clinical
Xin-An Wu
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AbstractHepatocellular carcinoma (HCC) is a highly malignant tumor found in the bile duct epithelial cells, and the second most common tumor of the liver. However, the pivotal roles of most molecules of tumorigenesis in HCC are still unclear. Hence, it is essential to detect the tumorigenic mechanism and develop novel prognostic biomarkers for clinical
Xin-An Wu
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