Results 161 to 170 of about 69,571 (187)

Weighted gene co-expression network analysis for hub genes in colorectal cancer

Pharmacological Reports, 2023
This 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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Weighted Gene Co-Expression Network Analysis Reveals Key Genes and Potential Drugs in Abdominal Aortic Aneurysm

Biomedicines, 2021
Abdominal aortic aneurysm (AAA) is a prevalent aortic disease that causes high mortality due to asymptomatic gradual expansion and sudden rupture. The underlying molecular mechanisms and effective pharmaceutical therapy for preventing AAA progression ...
Kejia Kan, Lei Zhu, Martin Sigl
exaly   +2 more sources

A General Framework for Weighted Gene Co-Expression Network Analysis

Statistical Applications in Genetics and Molecular Biology, 2005
Gene 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, 2023
This 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, Kaijian, Huang, Jialin, Xu, Qi, Lu, Chu, Chen   +4 more
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Mining Heat-Resistant Key Genes of Peony Based on Weighted Gene Co-Expression Network Analysis

Genes
The RNA-Seq and gene expression data of mature leaves under high temperature stress of Paeonia suffruticosa ‘Hu Hong’ were used to explore the key genes of heat tolerance of peony.
Tangchun Zheng, Zheng Wang, Zheng Tangchun   +2 more
exaly   +2 more sources

An epithelial–mesenchymal transition-related prognostic model for colorectal cancer based on weighted gene co-expression network analysis

Journal of International Medical Research, 2022
Objective To identify susceptibility modules and genes for colorectal cancer (CRC) using weighted gene co-expression network analysis (WGCNA). Methods Four microarray datasets were downloaded from the Gene Expression Omnibus database.
Lina Zhang, Xiao Qian
exaly   +2 more sources

Identification of key genes in colorectal cancer diagnosis by co-expression analysis weighted gene co-expression network analysis.

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, Leili Tapak, Fatemeh Bahreini, Rezvan Najafi, Saeid Afshar   +4 more
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Identification of Key Gene Modules in Human Osteosarcoma by Co‐Expression Analysis Weighted Gene Co‐Expression Network Analysis (WGCNA)

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, Ai‐Xin Hu, Jia‐Li Zhao, Feng‐Li Chen   +3 more
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Weighted gene co-expression network analysis of gene modules for the prognosis of esophageal cancer

Journal of Huazhong University of Science and Technology [Medical Sciences], 2017
Esophageal cancer is a common malignant tumor, whose pathogenesis and prognosis factors are not fully understood. This study aimed to discover the gene clusters that have similar functions and can be used to predict the prognosis of esophageal cancer. The matched microarray and RNA sequencing data of 185 patients with esophageal cancer were downloaded ...
Cong, Zhang, Qian, Sun
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Weighted gene co-expression network analysis unveils gene networks regulating folate biosynthesis in maize endosperm

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, Diansi Yu, Hongjian Zheng, Guogan Wu, Yu Sun, Peng Li, Jinbin Wang, Cui Wang, Beibei Lv, Xueming Tang   +9 more
openaire   +2 more sources