Results 11 to 20 of about 100,698 (279)
Bioinformatic analysis of potential hub genes in gastric adenocarcinoma [PDF]
Science Progress, 2021 Gastric adenocarcinoma is the most common histologic type of gastric cancer; however, the pathogenic mechanisms remain unclear. To improve mechanistic understanding and identify new treatment targets or diagnostic biomarkers, we used bioinformatic tools to predict the hub genes related to the process of gastric adenocarcinoma development from public ...
Hao Liu +5 more
openaire +2 more sources
Identification of potential hub genes of gastric cancer
Medicine, 2022 Abstract Background Gastric cancer (GC) is a malignant tumor originated from gastric mucosa epithelium. It is the third leading cause of cancer mortality in China. The early symptoms are not obvious. When it is discovered, it has developed to the advanced stage, and the prognosis is poor.
Xu-Dong Zhou +6 more
openaire +2 more sources
BMC Medical Genomics, 2023 Background Dendritic cells (DCs) are most potent antigen-processing cells and play key roles in host defense against Mycobacterium tuberculosis (MTB) infection.
Xiao Wu +9 more
doaj +1 more source
Enhanced construction of gene regulatory networks using hub gene information [PDF]
BMC Bioinformatics, 2017 Gene regulatory networks reveal how genes work together to carry out their biological functions. Reconstructions of gene networks from gene expression data greatly facilitate our understanding of underlying biological mechanisms and provide new opportunities for biomarker and drug discoveries.
Donghyeon Yu +4 more
openaire +2 more sources
Screening of potential hub genes in pulmonary thromboembolism
Experimental and Therapeutic Medicine, 2021 Pulmonary thromboembolism (PTE) is a fatal clinical syndrome that usually occurs in elderly individuals. The present study aimed to identify functional and key genes involved in the early diagnosis of PTE using bioinformatics analysis. The GSE84738 dataset was retrieved from the Gene Expression Omnibus database.
Lu, Yan +4 more
openaire +3 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
openaire +3 more sources
Identification of key genes and biological pathways in Chinese lung cancer population using bioinformatics analysis [PDF]
PeerJ, 2022 Background Identification of accurate prognostic biomarkers is still particularly urgent for improving the poor survival of lung cancer patients.
Ping Liu +7 more
doaj +2 more sources
Uncovering hub genes in sepsis through bioinformatics analysis
Medicine, 2023 In-depth studies on the mechanisms of pathogenesis of sepsis and diagnostic biomarkers in the early stages may be the key to developing individualized and effective treatment strategies. This study aimed to identify sepsis-related hub genes and evaluate their diagnostic reliability.
Zhao Liu +3 more
openaire +2 more sources
Frontiers in Genetics, 2021 Background: The clinical efficacy of osteoporosis therapy is unsatisfactory. However, there is currently no gold standard for the treatment of osteoporosis.
Genfa Du +6 more
doaj +1 more source
Seven key hub genes identified by gene co-expression network in cutaneous squamous cell carcinoma
BMC Cancer, 2021 Background Cutaneous squamous cell carcinoma (cSCC) often follows actinic keratosis (AK) and is the second most common skin cancer worldwide. To reduce metastasis risk, it is important to diagnose and treat cSCC early.
Huizhen Chen, Jiankang Yang, Wenjuan Wu
doaj +1 more source