Results 11 to 20 of about 43,312 (289)

WGCNA: an R package for weighted correlation network analysis [PDF]

BMC Bioinformatics, 2008
Background Correlation networks are increasingly being used in bioinformatics applications. For example, weighted gene co-expression network analysis is a systems biology method for describing the correlation patterns among genes across microarray ...
Langfelder Peter, Horvath Steve
core   +4 more sources

ACT2.6: Global Gene Coexpression Network in Arabidopsis thaliana Using WGCNA

Genes
Background/Objectives: Genes with similar expression patterns across multiple samples are considered coexpressed, and they may participate in similar biological processes or pathways. Gene coexpression networks depict the degree of similarity between the
Ioannis Michalopoulos, Vassiliki A. Iconomidou, Apostolos Malatras, Vasileios L. Zogopoulos, Konstantinos Papadopoulos   +4 more
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Identification and Validation of Pivotal Genes in Osteoarthritis Combined with WGCNA Analysis

Journal of Inflammation Research
Chengzhuo Yang,1,* Xinhua Chen,1,* Jin Liu,1 Wenhao Wang,1 Lihua Sun,2 Youhong Xie,1 Qing Chang1,* 1Department of The Affiliated Rehabilitation Hospital of Chongqing Medical University, Chongqing, People’s Republic of China; 2Department of ...
Yang C, Chen X, Liu J, Wang W, Sun L, Xie Y, Chang Q   +6 more
doaj   +3 more sources

Identification and Analysis of Potential Autophagy-Related Biomarkers in Endometriosis by WGCNA [PDF]

Frontiers in Molecular Biosciences, 2021
Background: Endometriosis is a serious gynecological disorder characterized by debilitating pain, infertility and the establishment of innervated endometriosis lesions outside the uterus. Early detection and accurate diagnosis are pivotal in endometriosis.
Jing Wang, Shanshan Cong, Han Wu, Yanan He, Xiaoli Liu, Liyuan Sun, Xibo Zhao, Guangmei Zhang   +7 more
openaire   +3 more sources

Identification of key genes in sepsis by WGCNA

Preventive Medicine, 2023
When the body damages its own tissues in response to an infection, sepsis develops. Medical treatments are limited. It's important to understand the molecular mechanism behind sepsis pathogenesis and identify potential molecular treatment targets. We made two modules based on how genes work together by using WGCNA analysis.
Xue-Meng, Gao, Xiu-Hua, Zhou, Meng-Wei, Jia, Xiao-Zhuo, Wang, Dan, Liu   +4 more
openaire   +2 more sources

WGCNA Identifies Translational and Proteasome-Ubiquitin Dysfunction in Rett Syndrome [PDF]

International Journal of Molecular Sciences, 2021
Rett Syndrome (RTT) is an X linked neurodevelopmental disorder caused by mutations in the methyl-CpG-binding protein 2 (MECP2) gene, resulting in severe cognitive and physical disabilities. Despite an apparent normal prenatal and postnatal development period, symptoms usually present around 6 to 18 months of age.
Florencia Haase, Brian S. Gloss, Patrick P. L. Tam, Wendy A. Gold   +3 more
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WGCNA revisited: Module indetification

Journal of Physics: Conference Series, 2021
Abstract WGCNA is a very popular R language software package used in biomedical field. It is mainly designed to deal with gene microarray samples to find clusters (modules), which include highly correlated genes, in biomedical studies. Theoretically, it results in the hierarchical modules, which are different from the results based on ...
Shaomin Yan, Guang Wu
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WGCNA-based omics integration is useful to identify hypothetical regulation mechanisms between biological levels.

, 2021
Nine modules of co-expressed genes were identified using WGCNA and correlated with profiles of miRNAS genes, proteins and metabolites (first column in blue scale) throughout HCC development; molecular features are shown in rows, molecular features were ...
Saúl Villa-Treviño (764711), J. Noé García-Chávez (11268365), Mercedes G. López (11268371), Verónica R. Vásquez-Garzón (11268368), Rafael Montiel (105160)   +4 more
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WGCNA

, 2022
 transcriptome data 
Dongqing Yang (8959619)
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Identification of key pathways and genes in nasopharyngeal carcinoma based on WGCNA

Auris Nasus Larynx, 2023
We aim to identify the potential genes and signaling pathways associated with the nasopharyngeal carcinoma (NPC) prognosis using Weighted Gene Co-Expression Network Analysis (WGCNA).Gene Expression Omnibus (GEO) query was utilized to download two NPC mRNA microarray data.
Yongmei, Dai, Wenhan, Chen, Junpeng, Huang, Li, Xie, Jianfang, Lin, Qianshun, Chen, Guicheng, Jiang, Chen, Huang   +7 more
openaire   +2 more sources