AIMC Topic: Gene Regulatory Networks

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Exploring shared pathogenic mechanisms and biomarkers in hepatic fibrosis and inflammatory bowel disease through bioinformatics and machine learning.

Frontiers in immunology Jan 1, 2025
BACKGROUND: The coexistence of hepatic fibrosis (HF) and inflammatory bowel disease (IBD) represents a significant clinical concern due to their poorly characterized shared pathogenic mechanisms. Current limitations in identifying common biomarkers f...
Humans Gene Expression Profiling Transcriptome Protein Interaction Maps Gene Regulatory Networks Machine Learning Biomarkers Inflammatory Bowel Diseases Computational Biology Liver Cirrhosis Matrix Metalloproteinase 2
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Identification and validation of shared biomarkers and drug repurposing in psoriasis and Crohn's disease: integrating bioinformatics, machine learning, and experimental approaches.

Frontiers in immunology Jan 1, 2025
BACKGROUND: Psoriasis and Crohn's disease (CD) are chronic inflammatory diseases that involve complex immune-mediated mechanisms. Despite clinical overlap and shared genetic predispositions, the molecular pathways connecting these diseases remain inc...
Drug Repositioning Crohn Disease Humans Molecular Docking Simulation Machine Learning Gene Expression Profiling Computational Biology Biomarkers Transcriptome Protein Interaction Maps Psoriasis Gene Regulatory Networks
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Mechanistic role of pyroptosis in Kawasaki disease: An integrative bioinformatics analysis of immune dysregulation, machine learning-based biomarker discovery, WGCNA, and drug repurposing insights.

PloS one Jan 1, 2025
Kawasaki disease (KD) is an acute vasculitis that primarily affects children under five and is a leading cause of acquired heart disease in this age group. Despite the standard treatment with intravenous immunoglobulin (IVIG), approximately 10-20% of...
Machine Learning Biomarkers Molecular Docking Simulation Gene Expression Profiling Humans Mucocutaneous Lymph Node Syndrome Drug Repositioning Pyroptosis Transcriptome Myeloid Differentiation Factor 88 Gene Regulatory Networks Computational Biology
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Identification and Immunological Characterization of Cuproptosis Related Genes in Preeclampsia Using Bioinformatics Analysis and Machine Learning.

Journal of clinical hypertension (Greenwich, Conn.) Jan 1, 2025
Preeclampsia (PE) is a pregnancy-specific disorder characterized by an unclearly understood pathogenesis and poses a great threat to maternal and fetal safety. Cuproptosis, a novel form of cellular death, has been implicated in the advancement of var...
Gene Regulatory Networks Machine Learning Computational Biology Pre-Eclampsia Databases, Genetic Pregnancy Female Gene Ontology Gene Expression Profiling Humans Protein Interaction Maps
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Diagnostic Power of MicroRNAs in Melanoma: Integrating Machine Learning for Enhanced Accuracy and Pathway Analysis.

Journal of cellular and molecular medicine Jan 1, 2025
This study identifies microRNAs (miRNAs) with significant discriminatory power in distinguishing melanoma from nevus, notably hsa-miR-26a and hsa-miR-211, which have exhibited diagnostic potential with accuracy of 81% and 78% respectively. To enhance...
Signal Transduction Machine Learning Protein Interaction Maps Melanoma MicroRNAs Humans Gene Regulatory Networks Biomarkers, Tumor Gene Expression Regulation, Neoplastic Gene Expression Profiling
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Immunoinfiltration Analysis of Mitochondrial Damage-Related Genes in Lung Adenocarcinoma and Construction of a Classification and Prognostic Model Integrated With WGCNA and Machine Learning Algorithms.

Cancer medicine Jan 1, 2025
BACKGROUND: Lung adenocarcinoma (LUAD) exhibits molecular heterogeneity, with mitochondrial damage affecting progression. The relationship between mitochondrial damage and immune infiltration, and Weighted Gene Co-expression Network Analysis (WGCNA)-...
Machine Learning Prognosis Biomarkers, Tumor Lung Neoplasms Computational Biology Gene Expression Profiling Gene Regulatory Networks Humans Adenocarcinoma of Lung Gene Expression Regulation, Neoplastic Databases, Genetic Mitochondria
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Enhancing Molecular Network-Based Cancer Driver Gene Prediction Using Machine Learning Approaches: Current Challenges and Opportunities.

Journal of cellular and molecular medicine Jan 1, 2025
Cancer is a complex disease driven by mutations in the genes that play critical roles in cellular processes. The identification of cancer driver genes is crucial for understanding tumorigenesis, developing targeted therapies and identifying rational ...
Neoplasms Protein Interaction Maps Gene Regulatory Networks Oncogenes Computational Biology Mutation Humans Neural Networks, Computer Machine Learning
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Unveiling Long Non-coding RNA Networks from Single-Cell Omics Data Through Artificial Intelligence.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2025
Single-cell omics technologies have revolutionized the study of long non-coding RNAs (lncRNAs), offering unprecedented resolution in elucidating their expression dynamics, cell-type specificity, and associated gene regulatory networks (GRNs). Concurr...
Computational Biology RNA, Long Noncoding Single-Cell Analysis Gene Regulatory Networks Genomics Artificial Intelligence Animals Gene Expression Profiling Humans
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Identification of miR-20a as a Diagnostic and Prognostic Biomarker in Colorectal Cancer: MicroRNA Sequencing and Machine Learning Analysis.

MicroRNA (Shariqah, United Arab Emirates) Jan 1, 2025
INTRODUCTION: The differential expression of miRNAs, a key regulator in many cell signaling pathways, has been studied in various malignancies and may have an important role in cancer progression, including colorectal cancer (CRC).
Gene Expression Regulation, Neoplastic MicroRNAs Kaplan-Meier Estimate Biomarkers, Tumor Gene Expression Profiling Gene Regulatory Networks Humans Female Colorectal Neoplasms Machine Learning Prognosis
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[Screening of characteristic genes of salivary gland adenoid cystic carcinoma based on weighted co-expression network and machine learning].

Shanghai kou qiang yi xue = Shanghai journal of stomatology Dec 1, 2024
PURPOSE: To identify potential biomarkers of salivary gland adenoid cystic carcinoma to further understand the potential pathogenesis of adenoid cystic carcinoma.
Gene Expression Regulation, Neoplastic Gene Expression Profiling Humans Carcinoma, Adenoid Cystic RNA, Long Noncoding ROC Curve Machine Learning Salivary Gland Neoplasms Biomarkers, Tumor Gene Regulatory Networks
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