Results 11 to 20 of about 61,812 (253)
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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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
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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
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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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PyWGCNA: a Python package for weighted gene co-expression network analysis
Bioinformatics, 2022 Abstract Motivation Weighted gene co-expression network analysis (WGCNA) is frequently used to identify modules of genes that are co-expressed across many RNA-seq samples. However, the current R implementation is slow, is not designed to compare modules between multiple WGCNA networks, and its ...
Narges Rezaie +2 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
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Identification of Key Genes and Pathways Associated With Endometriosis by Weighted Gene Co-Expression Network Analysis [PDF]
SSRN Electronic Journal, 2021 Background: Endometriosis is a common gynecological disorder with high rates of infertility and pelvic pain. However, its pathogenesis and diagnostic biomarkers remain unclear. This study aimed to elucidate potential hub genes and key pathways associated with endometriosis in ectopic endometrium (EC) and eutopic endometrium (EU).
Wu, Jingni +2 more
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Rice Science, 2022 Zinc (Zn) malnutrition is a major public health issue. Genetic biofortification of Zn in rice grain can alleviate global Zn malnutrition. Therefore, elucidating the genetic mechanisms regulating Zn deprivation response in rice is essential to identify ...
Blaise Pascal Muvunyi +4 more
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Identification of PDK4 as Hub Gene for Diabetic Nephropathy Using Co-Expression Network Analysis
Kidney & Blood Pressure Research, 2023 Introduction: Diabetic nephropathy (DN) is related to type 1 and type 2 diabetes. They are the leading cause of end-stage renal disease, but the underling specific pathogenesis of DN is not yet clear. Our study was conducted to explore how DN changed the
Yuanyuan Han +4 more
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