Results 51 to 60 of about 10,923,960 (347)

Hub gene interaction network.

open access: yes, 2022
(A) Hub genes—transcription factors (TFs): The red spheres represent four hub genes; the blue squares represent six major hub genes-associated TFs and the cyan squares represent other gene-associated TFs; (B) Hub genes—miRNAs: red spheres represent four ...
Duy Ngoc Do (12446969)   +5 more
core   +1 more source

Systematic identification of key functional modules and genes in esophageal cancer

open access: yesCancer Cell International, 2021
Background Esophageal cancer is associated with high incidence and mortality worldwide. Differential expression genes (DEGs) and weighted gene co-expression network analysis (WGCNA) are important methods to screen the core genes as bioinformatics methods.
Rui Wu   +7 more
doaj   +1 more source

RTP4 is a novel prognosis-related hub gene in cutaneous melanoma

open access: yesHereditas, 2021
Melanoma accounts for 80% of skin cancer deaths. The pathogenesis of melanoma is regulated by gene networks. Thus, we aimed here to identify gene networks and hub genes associated with melanoma and to further identify their underlying mechanisms.
Yi-Qun Li, Jue Qi, Jian-Kang Yang
semanticscholar   +1 more source

Identification and characterization of bone/cartilage-associated signatures in common fibrotic skin diseases

open access: yesFrontiers in Genetics, 2023
Background: Fibrotic skin diseases are characterized by excessive accumulation of the extracellular matrix (ECM) and activation of fibroblasts, leading to a global healthcare burden. However, effective treatments of fibrotic skin diseases remain limited,
Ting Wu   +9 more
doaj   +1 more source

ComHub: Community predictions of hubs in gene regulatory networks [PDF]

open access: yesBMC Bioinformatics, 2019
Abstract Summary Hub transcription factors, regulating many target genes in gene regulatory networks (GRNs), play important roles as disease regulators and potential drug targets. However, while numerous methods have been developed to predict individual regulator-gene interactions from gene ...
Åkesson, Julia   +3 more
openaire   +6 more sources

Identification of Biomarkers Correlated with the TNM Staging and Overall Survival of Patients with Bladder Cancer

open access: yesFrontiers in Physiology, 2017
Objective: To identify candidate biomarkers correlated with clinical prognosis of patients with bladder cancer (BC).Methods: Weighted gene co-expression network analysis was applied to build a co-expression network to identify hub genes correlated with ...
Sheng Li   +14 more
doaj   +1 more source

Identification of the hub gene BUB1B in hepatocellular carcinoma via bioinformatic analysis and in vitro experiments

open access: yesPeerJ, 2021
Background Hepatocellular carcinoma (HCC) is one of the most commonly diagnosed cancers and the fourth leading cause of cancer-related deaths in the world.
Jie Fu   +7 more
semanticscholar   +1 more source

united-manufacturing-hub/united-manufacturing-hub: v0.9.15

open access: yes, 2023
<h2>Major changes</h2> <ul> <li>Updated Redpanda</li> <li>Updated HiveMQ</li> <li>New Databridge for new datamodel</li> </ul> <h2>What's Changed</h2> <ul> <li>Release ...
kruegeralex   +20 more
core   +1 more source

Identification of the potential novel biomarkers as susceptibility gene for Wilms tumor

open access: yesBMC Cancer, 2021
Background Wilms tumor (WT) is the most common malignant renal tumor in children. The aim of this study was to identify potential susceptibility gene of WT for better prognosis.
Li Liu   +6 more
doaj   +1 more source

Identification of potential biomarkers of vascular calcification using bioinformatics analysis and validation in vivo [PDF]

open access: yesPeerJ, 2022
Background Vascular calcification (VC) is the most widespread pathological change in diseases of the vascular system. However, we know poorly about the molecular mechanisms and effective therapeutic approaches of VC.
Chuanzhen Chen   +4 more
doaj   +2 more sources

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