Results 21 to 30 of about 61,812 (253)

Hub genes of stroke identified by weighted gene co-expression network analysis [PDF]

, 2019
Abstract Background Microarray-based gene expression profiling has been widely used in biomedical research. Weighted gene co-expression network analysis (WGCNA) can link microarray data directly to clinical traits and to identify rules for predicting pathological stage and prognosis of disease, it has been found useful in many biological ...
Junhong Li, Yang Zhai, Peng Wu, Yueqiang Hu, Wei Chen, Jinghui Zheng, Nong Tang   +6 more
openaire   +2 more sources

Application of weighted gene co‐expression network analysis to identify novel key genes in diabetic nephropathy

Journal of Diabetes Investigation, 2022
Aims/Introduction Diabetic nephropathy (DN) is among the leading causes of end‐stage renal disease worldwide. DN pathogenesis remains largely unknown. Weighted gene co‐expression network analysis is a powerful bioinformatic tool for identifying key genes
Zheng Wang, Xiaolei Chen, Chao Li, Wanxin Tang   +3 more
doaj   +1 more source

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
doaj  

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
doaj   +1 more source

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

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
doaj  

Modular network inference between miRNA–mRNA expression profiles using weighted co-expression network analysis

Journal of Integrative Bioinformatics, 2021
Connecting transcriptional and post-transcriptional regulatory networks solves an important puzzle in the elucidation of gene regulatory mechanisms. To decipher the complexity of these connections, we build co-expression network modules for mRNA as well ...
Wani Nisar, Barh Debmalya, Raza Khalid
doaj   +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