Results 71 to 80 of about 5,790,030 (310)
Co-expression Network Analysis Reveals Novel Genes Underlying Alzheimer’s Disease Pathogenesis
Frontiers in Aging Neuroscience, 2020 Background: The pathogenesis of Alzheimer’s disease (AD) remains to be elucidated. This study aimed to identify the hub genes in AD pathogenesis and determine their functions and pathways.Methods: A co-expression network for an AD gene dataset with 401 ...
Rui-ting Hu +6 more
doaj +1 more source
Frontiers in Genetics, 2021 Hepatocellular carcinoma (HCC) is a primary liver cancer with extremely high mortality in worldwide. HCC is hard to diagnose and has a poor prognosis due to the less understanding of the molecular pathological mechanisms and the regulation mechanism on ...
Rui Huang +9 more
semanticscholar +1 more source
Evidence of Highly Regulated Genes (in-Hubs) in Gene Networks of Saccharomyces Cerevisiae [PDF]
Bioinformatics and Biology Insights, 2008 Uncovering interactions between genes, gene networks, is important to increase our understanding of intrinsic cellular processes and responses to external stimuli such as drugs. Gene networks can be computationally inferred from repeated measurements of gene expression, using algorithms, which assume that each gene is controlled by only a small number ...
Jesper Lundström +2 more
openaire +5 more sources
Scientific Reports, 2022 Despite advancements made in the therapeutic strategies on hepatocellular carcinoma (HCC), the survival rate of HCC patient is not satisfactory enough. Therefore, there is an urgent need for the valuable prognostic biomarkers in HCC therapy.
Zhifeng Lin +5 more
doaj +1 more source
Frontiers in Immunology, 2023 BackgroundTo identify differentially expressed lipid metabolism-related genes (DE-LMRGs) responsible for immune dysfunction in sepsis.MethodsThe lipid metabolism-related hub genes were screened using machine learning algorithms, and the immune cell ...
Han She +18 more
doaj +1 more source
Frontiers in Public Health, 2022 Acute myocardial infarction (AMI) has a high mortality. The single-cell RNA sequencing (scRNA-seq) method was used to analyze disease heterogeneity at the single-cell level.
Ziguang Song +5 more
semanticscholar +1 more source
Hub Gene Selection Methods for the Reconstruction of Transcription Networks [PDF]
, 2010 Abstract Transcription control networks have a scale-free topological structure: While most genes are involved in a reduced number of links, a few hubs or key regulators are connected to a significantly large number of nodes. Several methods have been developed for the reconstruction of these networks from gene expression data, e.g. ARACNE.
Hernandez-Lobato, J., Dijkstra, T.M.H.
openaire +2 more sources
Identification of the hub genes RUNX2 and FN1 in gastric cancer [PDF]
Open Medicine, 2020 Abstract Background This study identified key genes in gastric cancer (GC) based on the mRNA microarray GSE19826 from the Gene Expression Omnibus (GEO) database and preliminarily explored the relationships among the key genes. Methods
Han Chao +5 more
openaire +3 more sources
Key genes and regulatory networks for diabetic retinopathy based on hypoxia-related genes: a bioinformatics analysis [PDF]
International Journal of OphthalmologyAIM: To prevent neovascularization in diabetic retinopathy (DR) patients and partially control disease progression. METHODS: Hypoxia-related differentially expressed genes (DEGs) were identified from the GSE60436 and GSE102485 datasets, followed by gene ...
Cai-Han Yu +5 more
doaj +1 more source
Identification of Immune-Related Hub Genes in Parkinson’s Disease
Frontiers in Genetics, 2022 Background: Parkinson’s disease (PD) is a common, age-related, and progressive neurodegenerative disease. Growing evidence indicates that immune dysfunction plays an essential role in the pathogenic process of PD.
Lin Chen +4 more
semanticscholar +1 more source