Results 11 to 20 of about 47,201 (334)

Identification of key genes in sepsis by WGCNA

Preventive Medicine, 2023
When the body damages its own tissues in response to an infection, sepsis develops. Medical treatments are limited. It's important to understand the molecular mechanism behind sepsis pathogenesis and identify potential molecular treatment targets. We made two modules based on how genes work together by using WGCNA analysis.
Xuemeng Gao, Xiuhua Zhou, Meng-Wei Jia, Xiao-Zhuo Wang, Dan Liu   +4 more
openalex   +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 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

Identification of four hub genes associated with adrenocortical carcinoma progression by WGCNA

PeerJ, 2019
Background Adrenocortical carcinoma (ACC) is a rare and aggressive malignant cancer in the adrenal cortex with poor prognosis. Though previous research has attempted to elucidate the progression of ACC, its molecular mechanism remains poorly understood ...
Wangxiao Xia, Qin Yu, Gong‐Hua Li, Yaowen Liu, Fu‐Hui Xiao, Liqin Yang, Zia Ur Rahman, Haotian Wang, Qing‐Peng Kong   +8 more
openalex   +4 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

WGCNA: an R package for weighted correlation network analysis [PDF]

BMC Bioinformatics, 2008
(Uploaded by Plazi for the Bat Literature Project) Correlation networks are increasingly being used in bioinformatics applications. For example, weighted gene co-expression network analysis is a systems biology method for describing the correlation patterns among genes across microarray samples. Weighted correlation network analysis (WGCNA) can be used
Horvath Steve, Langfelder Peter
openaire   +3 more sources

Identification and Analysis of Potential Autophagy-Related Biomarkers in Endometriosis by WGCNA [PDF]

Frontiers in Molecular Biosciences, 2021
Background: Endometriosis is a serious gynecological disorder characterized by debilitating pain, infertility and the establishment of innervated endometriosis lesions outside the uterus. Early detection and accurate diagnosis are pivotal in endometriosis.
Jing Wang, Shanshan Cong, Han Wu, Yanan He, Xiaoli Liu, Liyuan Sun, Xibo Zhao, Guangmei Zhang   +7 more
openaire   +3 more sources

WGCNA and molecular docking identify hub genes for cardiac aging

Frontiers in Cardiovascular Medicine, 2023
BackgroundCardiac aging and ageing-related cardiovascular diseases remain increase medical and social burden. Discovering the molecular mechanisms associated with cardiac aging is expected to provide new perspectives for delaying aging and related disease treatment.MethodsThe samples in GEO database were divided into older group and younger group based
Ping Ping, Lixun Guan, Chaoxue Ning, Qiong Liu, Yali Zhao, Xiang Zhu, Ting Yang, Shihui Fu, Shihui Fu   +8 more
openaire   +3 more sources

Identification of Survival-Associated Hub Genes in Pancreatic Adenocarcinoma Based on WGCNA [PDF]

Frontiers in Genetics, 2022
Pancreatic adenocarcinoma is one of the leading causes of cancer-related death worldwide. Since little clinical symptoms were shown in the early period of pancreatic adenocarcinoma, most patients were found to carry metastases when diagnosis. The lack of effective diagnosis biomarkers and therapeutic targets makes pancreatic adenocarcinoma difficult to
Liya Huang, Ting Ye, Jingjing Wang, Xiaojing Gu, Ruiting Ma, Lulu Sheng, Binwu Ma   +6 more
openaire   +3 more sources

RETRACTED: Identification of Early Diagnostic and Prognostic Biomarkers via WGCNA in Stomach Adenocarcinoma [PDF]

Frontiers in Oncology, 2021
Stomach adenocarcinoma (STAD) is a leading cause of cancer deaths, and the outcome of the patients remains dismal for the lack of effective biomarkers of early detection. Recent studies have elucidated the landscape of genomic alterations of gastric cancer and reveal some biomarkers of advanced-stage gastric cancer, however, information about early ...
Ruoyue Tan, Ruoyue Tan, Ruoyue Tan, Guanghui Zhang, Guanghui Zhang, Ruochen Liu, Ruochen Liu, Jianbing Hou, Jianbing Hou, Zhen Dong, Zhen Dong, Chaowei Deng, Chaowei Deng, Sicheng Wan, Sicheng Wan, Xiaodong Lai, Hongjuan Cui, Hongjuan Cui, Hongjuan Cui   +18 more
openaire   +3 more sources