Results 11 to 20 of about 57,794 (383)

Identification of candidate biomarkers for GBM based on WGCNA

Scientific Reports
Glioblastoma multiforme (GBM), the most aggressive form of primary brain tumor, poses a considerable challenge in neuro-oncology. Despite advancements in therapeutic approaches, the prognosis for GBM patients remains bleak, primarily attributed to its ...
Qinghui Sun, Zheng Wang, Hao Xiu, Na He, Mingyu Liu, Li Yin   +5 more
semanticscholar   +4 more sources

Identification of crucial genes through WGCNA in the progression of gastric cancer

Journal of Cancer
Background: To explore the hub gene closely related to the progression of gastric cancer (GC), so as to provide a theoretical basis for revealing the therapeutic mechanism of GC.
Rui Liu, Jie Liu, Qiang Cao, Yanpeng Chu, Hao Chi, Jun Zhang, Jiangping Fu, Tianchi Zhang, Linguang Fan, Chaozhong Liang, Xiufang Luo, Xiaoli Yang, Bo Li   +12 more
semanticscholar   +3 more sources

WGCNA combined with machine learning to find potential biomarkers of liver cancer

Medicine, 2023
The incidence of hepatocellular carcinoma (HCC) has been increasing in recent years. With the development of various detection technologies, machine learning is an effective method to screen disease characteristic genes.
Jiahao Lv, Ajiao Hou, Shi-Hao Zhang, Jiaojiao Dong, Hai-Xue Kuang, Liu Yang, Hai Jiang   +6 more
semanticscholar   +3 more sources

WGCNA Identifies Translational and Proteasome-Ubiquitin Dysfunction in Rett Syndrome [PDF]

International Journal of Molecular Sciences, 2021
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, Brian Gloss, Patrick Tam, Wendy Gold   +3 more
openalex   +4 more sources

Identification the role of necroptosis in rheumatoid arthritis by WGCNA network

Autoimmunity
Rheumatoid arthritis (RA) is the predominant manifestation of inflammatory arthritis, distinguished by an increasing burden of morbidity and mortality. The intricate interplay of genes and signalling pathways involved in synovial inflammation in patients
Feige Nian, Yiwen Wang, Mingfeng Yang, Bin Zhang   +3 more
semanticscholar   +4 more sources

Identification of Critical Modules and Biomarkers of Ulcerative Colitis by Using WGCNA

Journal of Inflammation Research, 2023
Background Ulcerative colitis (UC) is a chronic inflammatory disease of the colon and rectum that has no exact cause and is characterized by relapsing and remitting episodes. We aimed to find biomarkers of UC and its causes.
Yifan Yuan, Na Li, M. Fu, Mei Ye
semanticscholar   +5 more sources

CWGCNA: an R package to perform causal inference from the WGCNA framework

NAR Genomics and Bioinformatics
WGCNA (weighted gene co-expression network analysis) is a very useful tool for identifying co-expressed gene modules and detecting their correlations to phenotypic traits.
Yu Liu
semanticscholar   +3 more sources

Identification of key genes in hepatitis B associated hepatocellular carcinoma based on WGCNA [PDF]

Infectious Agents and Cancer, 2021
Abstract Hepatitis B virus (HBV) chronic infection is one risk factor of hepatocellular carcinoma (HCC). Lots of efforts have been made to illuminate the process of HBV-associated HCC, but its molecular mechanisms of carcinogenesis remain vague.
Chang Liu, Qinghai Dai, Qian Ding, Min Wei, Xiaohong Kong   +4 more
openalex   +5 more sources

WGCNA revisited: Module indetification

Journal of Physics: Conference Series, 2021
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

Construction of Prediction Model for Atrial Fibrillation with Valvular Heart Disease Based on Machine Learning

Reviews in Cardiovascular Medicine, 2022
Background: Valvular heart disease (VHD) is a major precipitating factor of atrial fibrillation (AF) that contributes to decreased cardiac function, heart failure, and stroke.
Qiaoqiao Li, Shenghong Lei, Xueshan Luo, Jintao He, Yuan Fang, Hui Yang, Yang Liu, Chun-Yu Deng, Shulin Wu, Yu-Mei Xue, Fang Rao   +10 more
doaj   +1 more source