Results 11 to 20 of about 212,786 (294)
Weighted Gene Co-Expression Network Analysis of Oxymatrine in Psoriasis Treatment
Journal of Inflammation Research, 2023 Xiaoxiao Xue,1 Yatao Guo,2 Qianying Zhao,3 Yongwen Li,1 Mi Rao,1 Wenjing Qi,1 Huijuan Shi1 1Department of Dermatovenereology, the General Hospital of Ningxia Medical University, Yinchuan, 750004, People’s Republic of China; 2Dermatological Department ...
Xue X +6 more
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Computers in biology and medicine, 2023 BACKGROUND The purpose of this study was using bioinformatics tools to identify biomarkers and molecular factors involved in the diagnosis of colorectal cancer, which are effective for the diagnosis and treatment of the disease.
Mahdie Mortezapour +4 more
semanticscholar +3 more sources
PLoS ONE, 2020 Testicular germ cell tumors (TGCTs) are common in young males, and seminoma accounts for a large proportion of TGCTs. However, there are limited records on the exploration of novel biomarkers for seminoma.
Hualin Chen +3 more
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BMC Medical Genomics, 2018 Background Glioblastoma multiforme, the most prevalent and aggressive brain tumour, has a poor prognosis. The molecular mechanisms underlying gliomagenesis remain poorly understood.
Pengfei Xu +8 more
doaj +3 more sources
Identify the signature genes for diagnose of uveal melanoma by weight gene co-expression network analysis [PDF]
International Journal of Ophthalmology, 2015 AIM: To identify and understand the relationship between co-expression pattern and clinic traits in uveal melanoma, weighted gene co-expression network analysis (WGCNA) is applied to investigate the gene expression levels and patient clinic features ...
Kai Shi +6 more
doaj +3 more sources
Journal of Alzheimer’s Disease, 2018 Background: Weighted co-expression network analysis (WGCNA) is a powerful systems biology method to describe the correlation of gene expression based on the microarray database, which can be used to facilitate the discovery of therapeutic targets or ...
Jia-wei Liang +10 more
semanticscholar +4 more sources
Identification of a key glioblastoma candidate gene, FUBP3, based on weighted gene co-expression network analysis [PDF]
BMC Neurology, 2022 Background Glioblastoma multiforme (GBM) is the most common aggressive malignant brain tumor. However, the molecular mechanism of glioblastoma formation is still poorly understood.
Jianmin Li +6 more
doaj +3 more sources
Integrated Weighted Gene Co-expression Network Analysis with an Application to Chronic Fatigue Syndrome [PDF]
BMC Systems Biology, 2008 BackgroundSystems biologic approaches such as Weighted Gene Co-expression Network Analysis (WGCNA) can effectively integrate gene expression and trait data to identify pathways and candidate biomarkers.
A. Presson +7 more
semanticscholar +6 more sources
Weighted gene co-expression network analysis of hub genes in lung adenocarcinoma [PDF]
Evolutionary Bioinformatics, 2021 Lung adenocarcinoma (LUAD) is a tumor with high incidence. This study aimed to identify the central genes of LUAD. LUAD were analyzed by weighted gene co-expression network (WGCNA), and differentially expressed genes (DEGs) were identified. Samples were obtained from The Cancer Genome Atlas (TCGA) and Genotype Tissue Expression (GTEx) databases and ...
Xuan Luo +4 more
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Identification of key gene modules and genes in colorectal cancer by co-expression analysis weighted gene co-expression network analysis [PDF]
Bioscience Reports, 2020 Abstract Colorectal cancer (CRC) has been one of the most common malignancies worldwide, which tends to get worse for the growth and aging of the population and westernized lifestyle. However, there is no effective treatment due to the complexity of its etiology. Hence, the pathogenic mechanisms remain to be clearly defined.
Peng Wang +7 more
openaire +2 more sources