Results 51 to 60 of about 2,288,692 (305)
Network Analyses of Differentially Expressed Genes in Osteoarthritis to Identify Hub Genes [PDF]
BioMed 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
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Identification of Hub Genes in Tuberculosis via Bioinformatics Analysis [PDF]
Computational and Mathematical Methods in Medicine, 2021 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
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Analysis of hub genes in different subnetworks.
, 2022 (A) Hub genes in Common-P. (B) Hub genes in HMI-MMI-SP. (C) Hub genes in MMI-MHCI-SP. (D) Hub genes in HMI-MHCI-SP. (E) Hub genes in HMI-SP. (F) Hub genes in MMI-SP. (G) Hub genes in MHCI-SP.
Yao Jiang (1469614) +2 more
core +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.
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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
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
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Genes-TFs interaction network.
, 2022 Hexagons represent hub genes; circle nodes represent TFs associated with hub genes.
Yun Chen (279569) +5 more
core +1 more source
united-manufacturing-hub/united-manufacturing-hub: v0.9.16
, 2023 <h2>What's Changed</h2> <ul> <li>fix: changed links from docker to GHCR by @Vermuden in https://github.com/united-manufacturing-hub/united-manufacturing-hub/pull/1532</li> <li>build(deps): bump golang.org/x/crypto from
kruegeralex +20 more
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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
Exploration of the hub genes and miRNAs in lung adenocarcinoma
Oncology Letters, 2019 In order to investigate the oncogenic mechanisms of lung adenocarcinoma (LUAD), hub genes can be identified by constructing co-expression networks, and the potential linkages between hub genes, transcription factors (TFs) and microRNAs (miRNAs/miRs) can be visualized and identified.
Zhai, Yuanyuan +3 more
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