Results 51 to 60 of about 124,378 (265)

Hub Gene Selection Methods for the Reconstruction of Transcription Networks [PDF]

open access: yes, 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

Network Analyses of Differentially Expressed Genes in Osteoarthritis to Identify Hub Genes [PDF]

open access: yesBioMed Research International, 2019
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]

open access: yesBioMed Research International, 2020
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

Co-expression network analysis identified six hub genes in association with progression and prognosis in human clear cell renal cell carcinoma (ccRCC)

open access: yesGenomics Data, 2017
Human clear cell renal cell carcinoma (ccRCC) is one of the most common types of malignant adult kidney tumors. We constructed a weighted gene co-expression network to identify gene modules associated with clinical features of ccRCC (n = 97).
Lushun Yuan   +6 more
doaj   +1 more source

Identification of oxidative stress-related genes differentially expressed in Alzheimer’s disease and construction of a hub gene-based diagnostic model

open access: yesScientific Reports, 2023
Alzheimer’s disease (AD) is the most prevalent dementia disorder globally, and there are still no effective interventions for slowing or stopping the underlying pathogenic mechanisms.
Yanting Zhang, Hisanori Kiryu
doaj   +1 more source

Screening of the key genes and signaling pathways for schizophrenia using bioinformatics and next generation sequencing data analysis

open access: yesItalian Journal of Medicine
Schizophrenia is thought to be the most prevalent chronic psychiatric disorder. Researchers have identified numerous proteins associated with the occurrence and development of schizophrenia. This study aimed to identify potential core genes and pathways
Iranna Kotturshetti   +4 more
doaj   +1 more source

Integrated analysis of hub genes and miRNA- transcription factor-hub gene interaction network in necrotizing enterocolitis

open access: yes, 2023
Abstract Background The aim of this study was to identify hub genes, related transcription factors (TFs) and miRNAs from the miRNA–TF–gene interaction network in necrotizing enterocolitis (NEC). Methods Three expression data sets from GEO database that compared NEC with surgical negative controls were used to calculate differentially ...
Yuqian Su   +6 more
openaire   +1 more source

The parenting hub of the hypothalamus is a focus of imprinted gene action

open access: yesPLOS Genetics, 2023
Imprinted genes are subject to germline epigenetic modification resulting in parental-specific allelic silencing. Although genomic imprinting is thought to be important for maternal behaviour, this idea is based on serendipitous findings from a small number of imprinted genes. Here, we undertook an unbiased systems biology approach, taking advantage of
Matthew J. Higgs   +5 more
openaire   +3 more sources

Identification of TNFAIP6 as a hub gene associated with the progression of glioblastoma by weighted gene co‐expression network analysis

open access: yesIET Systems Biology, 2022
This study aims to discover the genetic modules that distinguish glioblastoma multiforme (GBM) from low‐grade glioma (LGG) and identify hub genes. A co‐expression network is constructed using the expression profiles of 28 GBM and LGG patients from the ...
Dongdong Lin, Wei Li, Nu Zhang, Ming Cai
doaj   +1 more source

Identification of Hub Biomarkers and Immune-Related Pathways Participating in the Progression of Antineutrophil Cytoplasmic Antibody-Associated Glomerulonephritis

open access: yesFrontiers in Immunology, 2022
BackgroundAntineutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV) is a systemic autoimmune disease that generally induces the progression of rapidly progressive glomerulonephritis (GN).
Meng-Di Xia   +4 more
doaj   +1 more source

Home - About - Disclaimer - Privacy