Results 11 to 20 of about 33,188 (253)
WGCNA: an R package for weighted correlation network analysis [PDF]
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
Identification and Analysis of Potential Autophagy-Related Biomarkers in Endometriosis by WGCNA [PDF]
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 +7 more
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Identification of key genes in sepsis by WGCNA
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 +4 more
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WGCNA Identifies Translational and Proteasome-Ubiquitin Dysfunction in Rett Syndrome [PDF]
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 +3 more
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WGCNA revisited: Module indetification
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
openaire +1 more source
ACT2.6: Global Gene Coexpression Network in Arabidopsis thaliana Using WGCNA
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 +4 more
core +4 more sources
Identification of key pathways and genes in nasopharyngeal carcinoma based on WGCNA
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 +7 more
openaire +2 more sources
RETRACTED: Identification of Early Diagnostic and Prognostic Biomarkers via WGCNA in Stomach Adenocarcinoma [PDF]
Stomach adenocarcinoma (STAD) is a leading cause of cancer deaths, and the outcome of the patients remains dismal for the lack of effective biomarkers of early detection. Recent studies have elucidated the landscape of genomic alterations of gastric cancer and reveal some biomarkers of advanced-stage gastric cancer, however, information about early ...
Ruoyue Tan +18 more
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Postmenopausal osteoporosis (PMO) patients may suffer from chronic pain and increased fractures due to brittle bones that seriously affect their normal work and life. Exploring the pathogenesis of PMO can help clinicians construct individualized therapeutic targets.Differentially expressed genes (DEGs) were identified by analyzing the microarray assays
Meng-Lei Hao +3 more
openaire +4 more sources
Identification of Survival-Associated Hub Genes in Pancreatic Adenocarcinoma Based on WGCNA [PDF]
Pancreatic adenocarcinoma is one of the leading causes of cancer-related death worldwide. Since little clinical symptoms were shown in the early period of pancreatic adenocarcinoma, most patients were found to carry metastases when diagnosis. The lack of effective diagnosis biomarkers and therapeutic targets makes pancreatic adenocarcinoma difficult to
Liya Huang +6 more
openaire +3 more sources

