AIMC Topic: Gene Regulatory Networks

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Integration of Bioinformatics and Machine Learning Strategies Identifies Ferroptosis and Immune Infiltration Signatures in Peri-Implantitis.

International journal of molecular sciences May 1, 2025
Peri-implantitis (PI) is a chronic inflammatory disease that ultimately leads to the dysfunction and loss of implants with established osseointegration. Ferroptosis has been implicated in the progression of PI, but its precise mechanisms remain uncle...
Humans Machine Learning Computational Biology Ferroptosis Toll-Like Receptor 4 Peri-Implantitis Biomarkers Molecular Docking Simulation Gene Expression Profiling Gene Regulatory Networks
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Machine learning based identification of anoikis related gene classification patterns and immunoinfiltration characteristics in diabetic nephropathy.

Scientific reports May 1, 2025
Anoikis and immune cell infiltration are pivotal factors in the pathophysiological mechanism of diabetic nephropathy (DN), yet a comprehensive understanding of the mechanism is lacking. This work aimed to pinpoint distinctive anoikis-related genes (A...
Gene Ontology Anoikis Computational Biology Databases, Genetic Gene Expression Regulation Humans Gene Expression Profiling Machine Learning ROC Curve Algorithms Gene Regulatory Networks Diabetic Nephropathies
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Protein interactions, network pharmacology, and machine learning work together to predict genes linked to mitochondrial dysfunction in hypertrophic cardiomyopathy.

Scientific reports Apr 29, 2025
This study looked at possible targets for hypertrophic cardiomyopathy (HCM), a condition marked by thickening of the ventricular wall, primarily in the left ventricle. We employed differential gene analysis and weighted gene co-expression network ana...
Gene Regulatory Networks Molecular Docking Simulation Cardiomyopathy, Hypertrophic Humans Disease Models, Animal Gene Expression Profiling Machine Learning Mitochondria Transcriptome Animals Protein Interaction Maps
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Identification and Validation of Glycosylation‑Related Genes in Ischemic Stroke Based on Bioinformatics and Machine Learning.

Journal of molecular neuroscience : MN Apr 29, 2025
Ischemic stroke (IS) constitutes a severe neurological disorder with restricted treatment alternatives. Recent investigations have disclosed that glycosylation is closely associated with the occurrence and outcome of IS. Nevertheless, data on the tra...
Ischemic Stroke Ubiquitin-Conjugating Enzymes Gene Regulatory Networks Computational Biology Glycosylation Humans Machine Learning Transcriptome
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Machine learning analysis of FOSL2 and RHoBTB1 as central immunological regulators in knee osteoarthritis synovium.

The Journal of international medical research Apr 27, 2025
BackgroundKnee osteoarthritis is a debilitating disease with a complex pathogenesis. Synovitis, which refers to inflammation of the synovial membrane surrounding the joint, is believed to play an important role in the development and progression of k...
Fos-Related Antigen-2 Humans Machine Learning Synovial Membrane Animals Disease Models, Animal Gene Expression Profiling Gene Expression Regulation Gene Regulatory Networks Osteoarthritis, Knee Mice
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A novel cancer-associated fibroblast-related gene signature for predicting diffuse large B cell lymphoma prognosis using weighted gene co-expression network analysis and machine learning.

The Journal of international medical research Apr 25, 2025
ObjectiveOur objective was to investigate a novel cancer-associated fibroblast-related gene signature for predicting clinical outcomes in patients with diffuse large B cell lymphoma.MethodsThe cancer-associated fibroblast-related module genes were id...
Lymphoma, Large B-Cell, Diffuse Male Middle Aged Gene Expression Profiling Transcriptome ROC Curve Prognosis Gene Regulatory Networks Nomograms Retrospective Studies Humans Gene Expression Regulation, Neoplastic Cancer-Associated Fibroblasts Machine Learning Female Kaplan-Meier Estimate Biomarkers, Tumor
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Identifying disease progression biomarkers in metabolic associated steatotic liver disease (MASLD) through weighted gene co-expression network analysis and machine learning.

Journal of translational medicine Apr 24, 2025
BACKGROUND: Metabolic Associated Steatotic Liver Disease (MASLD), encompassing conditions simple liver steatosis (MAFL) and metabolic associated steatohepatitis (MASH), is the most prevalent chronic liver disease. Currently, the management of MASLD i...
Gene Expression Regulation Gene Ontology Animals Humans Disease Progression Protein Interaction Maps Gene Expression Profiling Machine Learning Gene Regulatory Networks ROC Curve Biomarkers Fatty Liver Reproducibility of Results Nomograms
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Identification of pivotal genes and regulatory networks associated with SAH based on multi-omics analysis and machine learning.

Scientific reports Apr 24, 2025
Subarachnoid hemorrhage (SAH) is a disease with high mortality and morbidity, and its pathophysiology is complex but poorly understood. To investigate the potential therapeutic targets post-SAH, the SAH-related feature genes were screened by the comb...
Rats, Sprague-Dawley Metabolomics Subarachnoid Hemorrhage Gene Expression Profiling Transcriptome Gene Regulatory Networks Computational Biology Multiomics Rats Proteomics Machine Learning Female Animals Humans Male
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Identification and verification of mitochondria-related genes biomarkers associated with immune infiltration for COPD using WGCNA and machine learning algorithms.

Scientific reports Apr 24, 2025
Mitochondrial dysfunction plays a pivotal role in the pathogenesis of chronic obstructive pulmonary disease (COPD). This study combines bioinformatics analysis with machine learning to elucidate potential key mitochondrial-related genes associated wi...
Humans Machine Learning Algorithms Biomarkers Mice Computational Biology Genes, Mitochondrial Mitochondria Pulmonary Disease, Chronic Obstructive Animals Gene Expression Profiling Gene Regulatory Networks
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Integrating bioinformatics and machine learning to discover sumoylation associated signatures in sepsis.

Scientific reports Apr 24, 2025
Small Ubiquitin-like MOdifier-mediated modification (SUMOylation) is associated with sepsis; however, its molecular mechanism remains unclear. Herein, hub genes and regulatory mechanisms in sepsis was investigated. The GSE65682 and GSE95233 datasets ...
Sumoylation Sepsis Humans Gene Regulatory Networks Machine Learning Computational Biology Gene Expression Profiling Databases, Genetic
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