AIMC Topic: Gene Regulatory Networks

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

PloS one Apr 24, 2025
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...
Gene Regulatory Networks Databases, Genetic Idiopathic Pulmonary Fibrosis Gene Expression Profiling Transcriptome ROC Curve Machine Learning Biomarkers Animals Humans Neural Networks, Computer
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Frustration in physiology and molecular medicine.

Molecular aspects of medicine Apr 23, 2025
Molecules provide the ultimate language in terms of which physiology and pathology must be understood. Myriads of proteins participate in elaborate networks of interactions and perform chemical activities coordinating the life of cells. To perform th...
Protein Folding Molecular Medicine Gene Regulatory Networks Humans Proteins Animals Protein Conformation
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Integrating WGCNA and SVM-RFE identifies hub molecular biomarkers driving ischemic stroke progression.

Neurological research Apr 22, 2025
BACKGROUND: Stroke is the second most common cause of death worldwide and the leading cause of long-term severe disability with neurological impairment worsening within hours after stroke onset and being especially involved with motor function. So fa...
Humans Biomarkers Animals Rats Support Vector Machine Disease Progression Databases, Genetic Gene Expression Profiling Ischemic Stroke Gene Regulatory Networks
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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 Apr 21, 2025
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 Macrophages, Alveolar Pulmonary Disease, Chronic Obstructive Humans Computational Biology Gene Expression Profiling Protein Interaction Maps Machine Learning Gene Regulatory Networks Databases, Genetic Glycolysis Phagocytosis
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GRLGRN: graph representation-based learning to infer gene regulatory networks from single-cell RNA-seq data.

BMC bioinformatics Apr 18, 2025
BACKGROUND: A gene regulatory network (GRN) is a graph-level representation that describes the regulatory relationships between transcription factors and target genes in cells. The reconstruction of GRNs can help investigate cellular dynamics, drug d...
Computational Biology RNA-Seq Sequence Analysis, RNA Gene Regulatory Networks Single-Cell Gene Expression Analysis Humans Deep Learning Machine Learning Algorithms Single-Cell Analysis
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Identification of key therapeutic targets in nicotine-induced intracranial aneurysm through integrated bioinformatics and machine learning approaches.

BMC pharmacology & toxicology Apr 17, 2025
BACKGROUND: Intracranial aneurysm (IA) is a critical cerebrovascular condition, and nicotine exposure is a known risk factor. This study delves into the toxicological mechanisms of nicotine in IA, aiming to identify key biomarkers and therapeutic tar...
Machine Learning Animals Molecular Docking Simulation Nicotine Intracranial Aneurysm Gene Regulatory Networks Computational Biology Humans
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Comprehensive molecular analyses of an autoimmune-related gene predictive model and immune infiltrations using machine learning methods in intracranial aneurysma.

Frontiers in immunology Apr 17, 2025
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...
Computational Biology Gene Expression Profiling Humans Autoimmunity Databases, Genetic Neural Networks, Computer Intracranial Aneurysm Transcriptome MicroRNAs Machine Learning Gene Regulatory Networks
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The role and machine learning analysis of mitochondrial autophagy-related gene expression in lung adenocarcinoma.

Frontiers in immunology Apr 17, 2025
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...
Lung Neoplasms Computational Biology Gene Expression Regulation, Neoplastic Biomarkers, Tumor Databases, Genetic Humans Gene Expression Profiling Adenocarcinoma of Lung Autophagy Machine Learning Gene Regulatory Networks Mitophagy Mitochondria
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Identification and Validation of Ferritinophagy-Related Biomarkers in Periodontitis.

International dental journal Apr 15, 2025
OBJECTIVE: While ferritinophagy is believed to play a significant role in the development of periodontitis, the exact mechanisms remain unclear. This study aimed to investigate the biomarkers associated with ferritinophagy in periodontitis using tran...
Ferritins Protein Interaction Maps Gene Regulatory Networks Periodontitis Humans Gene Expression Profiling Machine Learning Biomarkers Transcriptome
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Identification of M1 macrophage infiltration-related genes for immunotherapy in Her2-positive breast cancer based on bioinformatics analysis and machine learning.

Scientific reports Apr 11, 2025
Over the past several decades, there has been a significant increase in the number of breast cancer patients. Among the four subtypes of breast cancer, Her2-positive breast cancer is one of the most aggressive breast cancers. In this study, we screen...
Prognosis Female Breast Neoplasms Humans Machine Learning Macrophages Gene Regulatory Networks Computational Biology Immunotherapy Gene Expression Regulation, Neoplastic Biomarkers, Tumor Gene Expression Profiling Protein Interaction Maps Receptor, ErbB-2
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