Results 31 to 40 of about 212,786 (294)

Assessment of Weighted Gene Co-Expression Network Analysis to Explore Key Pathways and Novel Biomarkers in Muscular Dystrophy

Pharmacogenomics and Personalized Medicine, 2021
Xiaoxue Xu,1 Yuehan Hao,1 Jiao Wu,2 Jing Zhao,1 Shuang Xiong3 1Department of Neurology, The First Hospital of China Medical University, Shenyang, People’s Republic of China; 2Department of Neurology, The People’s Hospital of Liaoning Province,
Xu X, Hao Y, Wu J, Zhao J, Xiong S
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Construction and Analysis of a Diagnostic Model Based on Differential Expression Genes in Patients With Major Depressive Disorder

Frontiers in Psychiatry, 2021
Background: Major depressive disorder (MDD) is a common and severe psychiatric disorder with a heavy burden on the individual and society. However, the prevalence varies significantly owing to the lack of auxiliary diagnostic biomarkers.
Qing Long, Rui Wang, Maoyang Feng, Xinling Zhao, Yilin Liu, Xiao Ma, Lei Yu, Shujun Li, Zeyi Guo, Yun Zhu, Zhaowei Teng, Yong Zeng   +11 more
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Identification of the hub genes in gastric cancer through weighted gene co-expression network analysis

PeerJ, 2021
Background Gastric cancer is one of the most lethal tumors and is characterized by poor prognosis and lack of effective diagnostic or therapeutic biomarkers. The aim of this study was to find hub genes serving as biomarkers in gastric cancer diagnosis and therapy.
Li, Chunyang, Yu, Haopeng, Sun, Yajing, Zeng, Xiaoxi, Zhang, Wei   +4 more
openaire   +3 more sources

Comprehensive analysis of diabetic nephropathy expression profile based on weighted gene co-expression network analysis algorithm

BMC Nephrology, 2021
Background Diabetic nephropathy (DN) is the major complication of diabetes mellitus, and leading cause of end-stage renal disease. The underlying molecular mechanism of DN is not yet completely clear.
Alieh Gholaminejad, Mohammad Fathalipour, Amir Roointan   +2 more
doaj   +1 more source

Application of Weighted Gene Co-expression Network Analysis for Data from Paired Design

Scientific Reports, 2018
Investigating how genes jointly affect complex human diseases is important, yet challenging. The network approach (e.g., weighted gene co-expression network analysis (WGCNA)) is a powerful tool.
Jianqiang Li, Dou-Dou Zhou, W. Qiu, Yuliang Shi, Jijiang Yang, Shi Chen, Qing Wang, Hui Pan   +7 more
semanticscholar   +1 more source

Identification of Hub Genes Associated With Tuberculous Pleurisy by Integrated Bioinformatics Analysis

Frontiers in Genetics, 2021
Improving the understanding of the molecular mechanism of tuberculous pleurisy is required to develop diagnosis and new therapy strategies of targeted genes. The purpose of this study is to identify important genes related to tuberculous pleurisy.
Lei Shi, Zilu Wen, Hongwei Li, Yanzheng Song, Yanzheng Song   +4 more
doaj   +1 more source

Application of weighted gene co-expression network analysis to identify key modules and hub genes in oral squamous cell carcinoma tumorigenesis

OncoTargets and Therapy, 2018
Purpose Oral squamous cell carcinoma (OSCC) is one of the most common malignant diseases worldwide, yet its molecular mechanisms are largely unknown. We aimed to construct gene co-expression networks to identify key modules and hub genes involved in the ...
Xiao-Qi Zhang, Haoke Feng, Zi-yu Li, Dongfang Li, Shan-Shan Liu, Hai-Yun Huang, Min-Qi Li   +6 more
semanticscholar   +1 more source

LncRNAs related key pathways and genes in ischemic stroke by weighted gene co-expression network analysis (WGCNA).

Genomics, 2020
BACKGROUND Ischemic stroke (IS) was a significant public health concern and long-chain noncoding RNAs (lncRNAs) were gaining particular importance in stroke biology, however, the potential mechanism of lncRNAs in IS was not fully understood. METHODS In
Min Wang, Li-Juan Wang, Liyuan Pu, Kexin Li, Tianyu Feng, Pingping Zheng, Shuo Li, Meng-Zi Sun, Yan Yao, Lina Jin   +9 more
semanticscholar   +1 more source

Comparative analysis of weighted gene co-expression networks in human and mouse

PLOS ONE, 2017
The application of complex network modeling to analyze large co-expression data sets has gained traction during the last decade. In particular, the use of the weighted gene co-expression network analysis framework has allowed an unbiased and systems-level investigation of genotype-phenotype relationships in a wide range of systems.
Marius Eidsaa, Lisa Stubbs, Eivind Almaas   +2 more
openaire   +5 more sources

Using Weighted Gene Co-Expression Network Analysis to Identify Increased MND1 Expression as a Predictor of Poor Breast Cancer Survival

International Journal of General Medicine, 2022
Zhaokang Bao,1,* Jiale Cheng,1,* Jiahao Zhu,2,* Shengjun Ji,3 Ke Gu,2 Yutian Zhao,2 Shiyou Yu,1 You Meng1 1Department of Oncology Surgery, The Affiliated Suzhou Hospital of Nanjing Medical University, Gusu School, Nanjing Medical University ...
Bao Z, Cheng J, Zhu J, Ji S, Gu K, Zhao Y, Yu S, Meng Y   +7 more
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