Databases, Genetic

Comprehensive molecular analyses of an autoimmune-related gene predictive model and immune infiltrations using machine learning methods in intracranial aneurysma.

Frontiers in immunology 40313967

BACKGROUND: Increasing evidence indicates a connection between intracranial aneurysm (intracranial aneurysm, IA) and autoimmune diseases. However, the molecular mechanisms from a genetic perspective remain unclear. This study aims to elucidate the po...

Autoimmunity Computational Biology Databases, Genetic Gene Expression Profiling Gene Regulatory Networks Humans Intracranial Aneurysm Machine Learning MicroRNAs Neural Networks, Computer Transcriptome

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The role and machine learning analysis of mitochondrial autophagy-related gene expression in lung adenocarcinoma.

Frontiers in immunology 40313958

OBJECTIVE: Lung adenocarcinoma (LUAD) continues to be a primary cause of cancer-related mortality globally, highlighting the urgent need for novel insights finto its molecular mechanisms. This study aims to investigate the relationship between gene e...

Adenocarcinoma of Lung Autophagy Biomarkers, Tumor Computational Biology Databases, Genetic Gene Expression Profiling Gene Expression Regulation, Neoplastic Gene Regulatory Networks Humans Lung Neoplasms Machine Learning Mitochondria Mitophagy

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Integrating machine learning and neural networks for new diagnostic approaches to idiopathic pulmonary fibrosis and immune infiltration research.

PloS one 40273141

BACKGROUND: Idiopathic pulmonary fibrosis (IPF) is an interstitial lung disease with a fatal outcome, known for its rapid progression and unpredictable clinical course. However, the tools available for diagnosing and treating IPF are quite limited. T...

Animals Biomarkers Databases, Genetic Gene Expression Profiling Gene Regulatory Networks Humans Idiopathic Pulmonary Fibrosis Machine Learning Neural Networks, Computer ROC Curve Transcriptome

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Bioinformatics Approach to Identifying Molecular Targets of Isoliquiritigenin Affecting Chronic Obstructive Pulmonary Disease: A Machine Learning Pharmacology Study.

International journal of molecular sciences 40332792

To identify the molecular targets and possible mechanisms of isoliquiritigenin (ISO) in affecting chronic obstructive pulmonary disease (COPD) by regulating the glycolysis and phagocytosis of alveolar macrophages (AM). Datasets GSE130928 and GSE13896...

Chalcones Computational Biology Databases, Genetic Gene Expression Profiling Gene Regulatory Networks Glycolysis Humans Machine Learning Macrophages, Alveolar Phagocytosis Protein Interaction Maps Pulmonary Disease, Chronic Obstructive

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Integrating bioinformatics and machine learning to discover sumoylation associated signatures in sepsis.

Scientific reports 40274894

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 ...

Computational Biology Databases, Genetic Gene Expression Profiling Gene Regulatory Networks Humans Machine Learning Sepsis Sumoylation

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Integrated bioinformatics, machine learning, and molecular docking reveal crosstalk genes and potential drugs between periodontitis and systemic lupus erythematosus.

Scientific reports 40328806

Evidence indicates a connection between periodontitis (PD) and systemic lupus erythematosus (SLE), though the underlying co-morbid mechanisms remain unclear. This study sought to identify the genetic factors and potential therapeutic agents involved ...

Computational Biology Databases, Genetic Gene Expression Profiling Gene Regulatory Networks Humans Lupus Erythematosus, Systemic Machine Learning Molecular Docking Simulation Periodontitis Protein Interaction Maps

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Machine learning based identification of anoikis related gene classification patterns and immunoinfiltration characteristics in diabetic nephropathy.

Scientific reports 40312440

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...

Algorithms Anoikis Computational Biology Databases, Genetic Diabetic Nephropathies Gene Expression Profiling Gene Expression Regulation Gene Ontology Gene Regulatory Networks Humans Machine Learning ROC Curve

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Unveiling the role of oxidative stress in ANCA-associated glomerulonephritis through integrated machine learning and bioinformatics analyses.

Renal failure 40369957

Anti-neutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV) is a systemic autoimmune disease often leading to rapidly progressive glomerulonephritis. Oxidative stress plays a critical role in the development and progression of ANCA-associ...

Anti-Neutrophil Cytoplasmic Antibody-Associated Vasculitis Computational Biology Databases, Genetic Gene Expression Profiling Gene Regulatory Networks Glomerulonephritis Humans Machine Learning Oxidative Stress

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Integrating bioinformatics and machine learning to identify glomerular injury genes and predict drug targets in diabetic nephropathy.

Scientific reports 40374840

Diabetes mellitus (DM) is a chronic metabolic disorder that poses significant challenges to public health. Among its various complications, diabetic nephropathy (DN) emerges as a critical microvascular complication associated with high mortality rate...

Animals Computational Biology Databases, Genetic Diabetic Nephropathies Gene Expression Profiling Gene Ontology Gene Regulatory Networks Humans Kidney Glomerulus Machine Learning Mice

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An efficient leukemia prediction method using machine learning and deep learning with selected features.

PloS one 40378164

Leukemia is a serious problem affecting both children and adults, leading to death if left untreated. Leukemia is a kind of blood cancer described by the rapid proliferation of abnormal blood cells. An early, trustworthy, and precise identification o...

Databases, Genetic Deep Learning Gene Expression Profiling Humans Leukemia Machine Learning

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Explore the latest research on artificial intelligence and machine learning in medicine.

Comprehensive molecular analyses of an autoimmune-related gene predictive model and immune infiltrations using machine learning methods in intracranial aneurysma.

The role and machine learning analysis of mitochondrial autophagy-related gene expression in lung adenocarcinoma.

Integrating machine learning and neural networks for new diagnostic approaches to idiopathic pulmonary fibrosis and immune infiltration research.

Bioinformatics Approach to Identifying Molecular Targets of Isoliquiritigenin Affecting Chronic Obstructive Pulmonary Disease: A Machine Learning Pharmacology Study.

Integrating bioinformatics and machine learning to discover sumoylation associated signatures in sepsis.

Integrated bioinformatics, machine learning, and molecular docking reveal crosstalk genes and potential drugs between periodontitis and systemic lupus erythematosus.

Machine learning based identification of anoikis related gene classification patterns and immunoinfiltration characteristics in diabetic nephropathy.

Unveiling the role of oxidative stress in ANCA-associated glomerulonephritis through integrated machine learning and bioinformatics analyses.

Integrating bioinformatics and machine learning to identify glomerular injury genes and predict drug targets in diabetic nephropathy.

An efficient leukemia prediction method using machine learning and deep learning with selected features.

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