AIMC Topic: Gene Regulatory Networks

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Machine Learning Identification of Neutrophil Extracellular Trap-Related Genes as Potential Biomarkers and Therapeutic Targets for Bronchopulmonary Dysplasia.

International journal of molecular sciences Mar 31, 2025
Neutrophil extracellular traps (NETs) play a key role in the development of bronchopulmonary dysplasia (BPD), yet their molecular mechanisms in contributing to BPD remain unexplored. Using the GSE32472 dataset, which includes 100 blood samples from p...
Neutrophils Computational Biology Extracellular Traps Machine Learning Biomarkers Infant, Newborn Bronchopulmonary Dysplasia Gene Expression Profiling Gene Regulatory Networks Humans
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Identification of mitochondria-related feature genes for predicting type 2 diabetes mellitus using machine learning methods.

Frontiers in endocrinology Mar 27, 2025
PURPOSE: We aimed to identify the mitochondria-related feature genes associated with type 2 diabetes mellitus and explore their potential roles in immune cell infiltration.
Databases, Genetic Mitochondria Gene Expression Profiling Humans Diabetes Mellitus, Type 2 Gene Regulatory Networks Machine Learning
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Integrating machine learning and multi-omics analysis to reveal nucleotide metabolism-related immune genes and their functional validation in ischemic stroke.

Frontiers in immunology Mar 26, 2025
BACKGROUND: Ischemic stroke (IS) is a major global cause of death and disability, linked to nucleotide metabolism imbalances. This study aimed to identify nucleotide metabolism-related genes associated with IS and explore their roles in disease mecha...
Humans Gene Expression Profiling Mice Machine Learning Ischemic Stroke Computational Biology Animals Transcriptome Nucleotides Multiomics Molecular Docking Simulation Gene Regulatory Networks
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Identification of glucocorticoid-related genes in systemic lupus erythematosus using bioinformatics analysis and machine learning.

PloS one Mar 25, 2025
BACKGROUND: Systemic lupus erythematosus (SLE) is a complex autoimmune disease that has significant impacts on patients' quality of life and poses a substantial economic burden on society.
Cluster Analysis Lupus Erythematosus, Systemic Machine Learning Case-Control Studies Glucocorticoids Gene Regulatory Networks Molecular Docking Simulation Computational Biology Gene Expression Profiling Humans Transcriptome
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Identification of novel inflammatory response-related biomarkers in patients with ischemic stroke based on WGCNA and machine learning.

European journal of medical research Mar 22, 2025
BACKGROUND: Ischemic stroke (IS) is one of the most common causes of disability in adults worldwide. This study aimed to identify key genes related to the inflammatory response to provide insights into the mechanisms and management of IS.
Inflammation Ischemic Stroke Biomarkers Female Male Gene Expression Profiling Transcriptome Gene Regulatory Networks Humans Machine Learning
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Screening necroptosis genes influencing osteoarthritis development based on machine learning.

Scientific reports Mar 15, 2025
Machine learning can be applied to identify key genes associated with osteoarthritis (OA). This study aimed to explore the differential expression of necroptosis-related genes (NRGs) during the progression of OA, identify key gene modules strongly li...
Machine Learning Gene Expression Profiling Transcriptome Humans Gene Ontology Caspase 1 Gene Regulatory Networks Necroptosis Osteoarthritis
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Advancing sepsis diagnosis and immunotherapy machine learning-driven identification of stable molecular biomarkers and therapeutic targets.

Scientific reports Mar 11, 2025
Sepsis represents a significant global health challenge, necessitating early detection and effective treatment for improved outcomes. While traditional inflammatory markers facilitate the diagnosis of sepsis, the aspect of immune suppression remains ...
Humans Sepsis Gene Regulatory Networks Immunotherapy Machine Learning Algorithms Biomarkers
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Comprehensive integration of diagnostic biomarker analysis and immune cell infiltration features in sepsis via machine learning and bioinformatics techniques.

Frontiers in immunology Mar 10, 2025
INTRODUCTION: Sepsis, a critical medical condition resulting from an irregular immune response to infection, leads to life-threatening organ dysfunction. Despite medical advancements, the critical need for research into dependable diagnostic markers ...
Humans Machine Learning Biomarkers Gene Expression Profiling Transcriptome Sepsis Gene Regulatory Networks Computational Biology Databases, Genetic
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Machine learning uncovers the transcriptional regulatory network for the production host Streptomyces albidoflavus.

Cell reports Mar 8, 2025
Streptomyces albidoflavus is a widely used strain for natural product discovery and production through heterologous biosynthetic gene clusters (BGCs). However, the transcriptional regulatory network (TRN) and its impact on secondary metabolism remain...
Machine Learning Transcriptome Gene Regulatory Networks Streptomyces Multigene Family Gene Expression Regulation, Bacterial
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Involvement of disulfidptosis in the pathophysiology of autism spectrum disorder.

Life sciences Mar 5, 2025
Autism Spectrum Disorder (ASD) is a complex neurodevelopmental disorder, with oxidative stress recognized as a key pathogenic mechanisms. Oxidative stress disrupts intracellular dynamic- thiol/disulfide homeostasis (DTDH), potentially leading to disu...
Animals Male Child Humans Autism Spectrum Disorder Disease Models, Animal Female Oxidative Stress Disulfides Gene Regulatory Networks Disulfidptosis Mice
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