Results 261 to 270 of about 212,786 (294)

A Genetic Algorithm to Optimize Weighted Gene Co-Expression Network Analysis

Journal of Computational Biology, 2019
Weighted gene co-expression network analysis (WGCNA) is a widely used software tool that is used to establish relationships between phenotypic traits and gene expression data. It generates gene modules and then correlates their first principal component to phenotypic traits, proposing a functional relationship expressed by the correlation coefficient ...
David Toubiana, Eduardo Blumwald, Rami Puzis   +2 more
exaly   +4 more sources

Identifying key genes in rheumatoid arthritis by weighted gene co-expression network analysis

International Journal of Rheumatic Diseases, 2017
AbstractPurposeThis study aimed to identify rheumatoid arthritis (RA) related genes based on microarray data using the WGCNA (weighted gene co‐expression network analysis) method.MethodsTwo gene expression profile datasets GSE55235 (10 RA samples and 10 healthy controls) and GSE77298 (16 RA samples and seven healthy controls) were downloaded from Gene ...
Kerun Niu, Yinxian Yu, Chunhui Ma
exaly   +3 more sources

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
openaire   +2 more sources

Integrated comparative transcriptome and weighted gene co-expression network analysis provide valuable insights into the response mechanisms of crayfish (Procambarus clarkii) to copper stress.

Journal of Hazardous Materials, 2023
One of the significant limitations of aquaculture worldwide is the prevalence of divalent copper (Cu). Crayfish (Procambarus clarkii) are economically important freshwater species adapted to a variety of environmental stimuli, including heavy metal ...
Zhan-Qi Wang, Lian-Lian Yang, Fang-Heng Zhou, Jia-Peng Li, Xiao-Yin Wu, Xueting Zhong, He Lv, Shaokui Yi, Quan-Xin Gao, Zi Yang, Pengfei Zhao, Yi Wu, Chou-Fei Wu, Li-Qing Zhang, Hua Wang, Li-Xia Zhang   +15 more
semanticscholar   +1 more source

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
openaire   +2 more sources

Weighted gene co-expression network analysis identifies genes related to anthocyanin biosynthesis and functional verification of hub gene SmWRKY44.

Plant Science, 2021
Eggplant is rich in anthocyanins, which are thought to be highly beneficial for human health. There is no study on weighted gene co-expression network analysis (WGCNA) of anthocyanin biosynthesis in eggplant.
Yongjun He, Zhao-Wei Wang, Hai-Yan Ge, Yang Liu, Huoying Chen   +4 more
semanticscholar   +1 more source

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

Weighted gene co-expression network analysis and connectivity map identifies lovastatin as a treatment option of gastric cancer by inhibiting HDAC2.

Gene, 2019
OBJECTIVE This study aimed to identifying and validating therapeutic compounds which might have positive effects on patients with gastric cancer (GC) based on weighted gene co-expression network analysis (WGCNA) and connectivity map (CMap).
Li Zhang, Wenquan Kang, Xiao-Lan Lu, Shi-Yang Ma, Lei Dong, Bai-Cang Zou   +5 more
semanticscholar   +1 more source

[Analysis of sepsis-related genes through weighted gene co-expression network].

Zhonghua wei zhong bing ji jiu yi xue, 2021
To 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, Li, Li, Changyun, Zhao, Junhai, Zhen, Jing, Yan   +4 more
openaire   +1 more source

Predictors of response of rituximab in rheumatoid arthritis by weighted gene co-expression network analysis

Clinical Rheumatology, 2022
The purpose of this study was to identify a biomarker that can predict the efficacy of rituximab (RTX) in the treatment of rheumatoid arthritis (RA) patients.Utilized weighted gene co-expression network analysis (WGCNA) and LASSO regression analysis of whole blood transcriptome data (GSE15316 and GSE37107) related to RTX treatment for RA from the GEO ...
Shan Zhang, Peiting Li, Pengjia Wu, Lei Yang, Xiaoxia Liu, Jun Liu, Yong Zhang, Jiashun Zeng   +7 more
openaire   +2 more sources