Results 61 to 70 of about 135,319 (315)
Clinical relevance of hub genes.
(A) K-M curves of hub genes expression. (B) Box plots of hub genes expression and clinical variables.
Yi Zhao (14034) +4 more
core +1 more source
Evidence of Highly Regulated Genes (in-Hubs) in Gene Networks of Saccharomyces Cerevisiae [PDF]
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
Grouping based on hub genes of PCOS.
(A) Top10 hub genes were identified and PPI networks were established with Cytoscape. (B) Venn diagram for the overlapping genes between the above 10 hub genes and hub genes for the key modules.
Fan Qu (4763652) +7 more
core +1 more source
Hub Gene Selection Methods for the Reconstruction of Transcription Networks [PDF]
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
Background HELLP syndrome is one of the disorders characterized by hemolysis, increased liver enzymes and decreased platelet count. So far, many molecular pathways and genes have been identified in relation to the pathogenesis of this syndrome ...
Maddah, Reza +6 more
core +1 more source
Key genes and regulatory networks for diabetic retinopathy based on hypoxia-related genes: a bioinformatics analysis [PDF]
AIM: 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
Network Analyses of Differentially Expressed Genes in Osteoarthritis to Identify Hub Genes [PDF]
Background. Osteoarthritis (OA) is the most common degenerative disease in orthopedics. However, the cause and underlying molecular mechanisms are not clear. This study aims to identify the hub genes and pathways involved in the occurrence of osteoarthritis. Methods.
Zhaoyan Li +8 more
openaire +2 more sources
Integrated Analysis of Hub Genes and miRNAs in Dilated Cardiomyopathy [PDF]
Purpose. The aim of this study is to identify hub genes and miRNAs by the miRNA‐mRNA interaction network in dilated cardiomyopathy (DCM) disease. Methods. The differentially expressed miRNAs (DEMis) and mRNAs (DEMs) were selected using data of DCM patients downloaded from the GEO database (GSE112556 and GSE3585). Gene Ontology (GO) pathway analysis and
Kai Huang +6 more
openaire +2 more sources
Identification of Hub Genes in Tuberculosis via Bioinformatics Analysis [PDF]
Background. Tuberculosis (TB) is a serious chronic bacterial infection caused by Mycobacterium tuberculosis (MTB). It is one of the deadliest diseases in the world and a heavy burden for people all over the world. However, the hub genes involved in the host response remain largely unclear. Methods.
Tiancheng Zhang, Guihua Rao, Xiwen Gao
openaire +2 more sources
(A) The clustering heat map shows the clustering results of the five FRHGs screened by the random forest algorithm in the GSE63060 dataset. The red color represents the highly expressed genes in the samples, the blue color represents the lowly expressed ...
Yanchi Fu (17583233) +8 more
core +1 more source

