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[Weighted gene co-expression network analysis in biomedicine research].
Sheng wu gong cheng xue bao = Chinese journal of biotechnology, 2018High-throughput biological technologies are now widely applied in biology and medicine, allowing scientists to monitor thousands of parameters simultaneously in a specific sample. However, it is still an enormous challenge to mine useful information from high-throughput data.
Wei, Liu, Li, Li, Hua, Ye, Wei, Tu
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Parameterization of asymmetric sigmoid functions in weighted gene co-expression network analysis
Computational Biology and ChemistryIn most the biological contexts, examining gene expressions at the genomic level gives more accurate results than examining genes individually. It can improve understanding of the molecular mechanisms that cause molecular alterations. Weighted gene co-expression network analysis (WGCNA), which has recently been widely used to cluster transcriptomic ...
Muhammed Erkan Karabekmez +1 more
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A Weighted Gene Co-Expression Network Analysis Based on Iterative Learning
2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS), 2019Gene co-expression networks are widely used in field of exploring gene function and describe connections not only between genes in the network, but also between gene and trait of biological significance. As a part of building gene co-expression network, the adjacency function plays an important role in describing the connections between genes, which ...
Meijuan Yu, Yan Li, Fengjun Gong
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Analysis on Technology Convergence Mechanism using Weighted Gene Co-expression Network
2018 Portland International Conference on Management of Engineering and Technology (PICMET), 2018Technology convergence is a hot research topic within a challenging field. It is of great significance to analyze the fusion mechanism and mine the key technologies that affect technology convergence, which can guide the development of technology fusion and improve the independent innovation capability of enterprises.
Hong Miao +4 more
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Weighted gene co-expression network analysis identifies biomarkers in glycerol kinase deficient mice
Molecular Genetics and Metabolism, 2009Symptomatic glycerol kinase deficiency (GKD) is associated with episodic metabolic and central nervous system deterioration. We report here the first application of weighted gene co-expression network analysis (WGCNA) to investigate a knockout (KO) murine model of a human genetic disease.
Nicole K, MacLennan +7 more
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Identify Key Genes by Weighted Gene Co-Expression Network Analysis for Lung Adenocarcinoma
Nano LIFE, 2019The aim of this paper is to identify key genes in lung adenocarcinoma (LUAD) through weighted gene co-expression network analysis (WGCNA), and to further understand the molecular mechanism of LUAD. 107 gene expression profiles were downloaded from GSE10072 in the GEO database.
Jichen Xu +9 more
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[Weighted gene co-expression network analysis of methylated genes in burn scar tissue].
Zhonghua shao shang za zhi = Zhonghua shaoshang zazhi = Chinese journal of burns, 2021Objective: To investigate the methylated genes in burn scar tissue by weighted gene co-expression network analysis (WGCNA), and to discover molecular markers and therapeutic targets of scar formation. Methods: An observational research method was used.
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