Results 21 to 30 of about 47,201 (334)

Candidate Biomarkers and Molecular Mechanism Investigation for Glioblastoma Multiforme Utilizing WGCNA [PDF]

open access: yesBioMed Research International, 2018
To reveal the potential molecular mechanism of glioblastoma multiforme (GBM) and provide the candidate biomarkers for GBM gene therapy. Microarray dataset GSE50161 was obtained from GEO database. The differentially expressed genes (DEGs) were identified between GBM samples and control samples, followed by the module partition analysis based on WGCNA ...
Qi Yang   +7 more
openaire   +2 more sources

Identification of therapeutic targets and prognostic biomarkers in cholangiocarcinoma via WGCNA

open access: yesFrontiers in Oncology, 2022
BackgroundCholangiocarcinoma (CCA) is a highly aggressive malignant tumor for which limited treatment methods and prognostic signatures are available. This study aims to identify potential therapeutic targets and prognostic biomarkers for CCA.MethodsBased on differentially expressed genes (DEGs) identified from The Cancer Genome Atlas (TCGA) data, our ...
Lei Xu, Ting Xiao, Ling Xu, Wei Yao
openaire   +3 more sources

WGCNA combined with GSVA to explore biomarkers of refractory neocortical epilepsy

open access: yesIBRO Neuroscience Reports, 2022
About two-thirds of epilepsy patients relapse within five years after surgery. It is significant to note that the limitations of current treatments stem from a lack of understanding of molecular mechanisms. In this study, Weighted Gene Co-expression Network Analysis (WGCNA) and Gene set variation analysis (GSVA) methods were used to analyze the total ...
Rui Zhang   +5 more
openaire   +3 more sources

Gene Co-expression Network and Copy Number Variation Analyses Identify Transcription Factors Associated With Multiple Myeloma Progression [PDF]

open access: yes, 2019
Multiple myeloma (MM) has two clinical precursor stages of disease: monoclonal gammopathy of undetermined significance (MGUS) and smoldering multiple myeloma (SMM). However, the mechanism of progression is not well understood.
Abu Zaid, Mohammad   +7 more
core   +5 more sources

Assessment of Weighted Gene Co-Expression Network Analysis to Explore Key Pathways and Novel Biomarkers in Muscular Dystrophy

open access: yesPharmacogenomics 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  

Positively Correlated miRNA-miRNA Regulatory Networks in Mouse Frontal Cortex During Early Stages of Alcohol Dependence [PDF]

open access: yes, 2013
Although the study of gene regulation via the action of specific microRNAs (miRNAs) has experienced a boom in recent years, the analysis of genome-wide interaction networks among miRNAs and respective targeted mRNAs has lagged behind.
Blednov, Yuri A.   +6 more
core   +2 more sources

High Expression of Heterogeneous Nuclear Ribonucleoprotein A1 Facilitates Hepatocellular Carcinoma Growth

open access: yesJournal of Hepatocellular Carcinoma, 2023
Ziyi Cao,1,* Li Guan,1,* Runzhi Yu,1 Fan Yang,2 Jie Chen1 1Department of Gastroenterology, Huadong Hospital Affiliated to Fudan University, Shanghai, 200040, People’s Republic of China; 2Shanghai Key Laboratory of Clinical Geriatric Medicine ...
Cao Z, Guan L, Yu R, Yang F, Chen J
doaj  

Global isoform-specific transcript alterations and deregulated networks in clear cell renal cell carcinoma. [PDF]

open access: yes, 2018
Extensive genome-wide analyses of deregulated gene expression have now been performed for many types of cancer. However, most studies have focused on deregulation at the gene-level, which may overlook the alterations of specific transcripts for a given ...
Girke, Thomas   +2 more
core   +1 more source

Identification of Immune-Related Key Genes in Ovarian Cancer Based on WGCNA [PDF]

open access: yesFrontiers in Genetics, 2021
Background: Ovarian cancer (OV) is a fatal gynecologic malignancy and has poor survival rate in women over the age of forty. In our study, we aimed to identify genes related to immune microenvironment regulations and explore genes associated with OV prognosis.Methods: The RNA-seq data of GDC TCGA Ovarian Cancer cohort of 376 patients was retrieved from
Qingli Quan   +4 more
openaire   +3 more sources

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