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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 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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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, Merve Yarici
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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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Weighted Gene Co-expression Network Analysis of Gene Modules for Lung Adenocarcinoma
2018 5th International Conference on Systems and Informatics (ICSAI), 2018Yuanyuan Zhai +3 more
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