AIMC Topic: Gene Regulatory Networks

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Identification of UBE2N as a biomarker of Alzheimer's disease by combining WGCNA with machine learning algorithms.

Scientific reports Feb 22, 2025
Alzheimer's disease (AD) is the most common cause of dementia, emphasizing the critical need for the development of biomarkers that facilitate accurate and objective assessment of disease progression for early detection and intervention to delay its ...
Hippocampus Gene Regulatory Networks Algorithms Ubiquitin-Conjugating Enzymes Biomarkers Mice Humans Alzheimer Disease Animals Machine Learning Gene Expression Profiling
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Identification of crucial genes for polycystic ovary syndrome and atherosclerosis through comprehensive bioinformatics analysis and machine learning.

International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics Feb 21, 2025
OBJECTIVE: To identify potential biomarkers in patients with polycystic ovary syndrome (PCOS) and atherosclerosis, and to explore the common pathologic mechanisms between these two diseases in response to the increased risk of cardiovascular diseases...
Humans Machine Learning Biomarkers Computational Biology Databases, Genetic Atherosclerosis Polycystic Ovary Syndrome Female Protein Interaction Maps Gene Regulatory Networks
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Machine learning-based characterization of PANoptosis-related biomarkers and immune infiltration in ulcerative colitis: A comprehensive bioinformatics analysis and experimental validation.

International immunopharmacology Feb 21, 2025
Ulcerative colitis (UC) is a heterogeneous autoimmune condition. PANoptosis, a new form of programmed cell death, plays a role in inflammatory diseases. This study aimed to identify differentially expressed PANoptosis-related genes (PRGs) involved in...
Colitis, Ulcerative Mice Computational Biology Disease Models, Animal Biomarkers Animals Gene Regulatory Networks Humans Machine Learning
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Integration of 101 machine learning algorithm combinations to unveil m6A/m1A/m5C/m7G-associated prognostic signature in colorectal cancer.

Scientific reports Feb 18, 2025
Colorectal cancer (CRC) is the most common malignancy in the digestive system, with a lower 5-year overall survival rate. There is increasing evidence showing that RNA modification regulators such as m1A, m5C, m6A, and m7G play crucial roles in tumor...
Humans Machine Learning Female Colorectal Neoplasms Algorithms Prognosis Gene Expression Regulation, Neoplastic Methylation Biomarkers, Tumor Adenosine Gene Expression Profiling Gene Regulatory Networks
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Identification of biomarkers in Alzheimer's disease and COVID-19 by bioinformatics combining single-cell data analysis and machine learning algorithms.

PloS one Feb 18, 2025
BACKGROUND: Since its emergence in 2019, COVID-19 has become a global epidemic. Several studies have suggested a link between Alzheimer's disease (AD) and COVID-19. However, there is little research into the mechanisms underlying these phenomena. The...
Gene Ontology Gene Expression Profiling Metabolic Networks and Pathways Gene Regulatory Networks Alzheimer Disease Transcriptome Algorithms Computational Biology Humans Single-Cell Analysis Biomarkers SARS-CoV-2 Machine Learning COVID-19
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Identification of biomarkers associated with phagocytosis regulatory factors in coronary artery disease using machine learning and network analysis.

Mammalian genome : official journal of the International Mammalian Genome Society Feb 14, 2025
BACKGROUND: Coronary artery disease (CAD) is the leading cause of death worldwide, and aberrant phagocytosis may be involved in its development. Understanding this aspect may provide new avenues for prompt CAD diagnosis.
Syk Kinase Phagocytosis Receptors, IgG Toll-Like Receptor 2 Polymorphism, Single Nucleotide Gene Expression Profiling Humans Computational Biology Protein Interaction Maps Machine Learning Interleukin-1beta Databases, Genetic Gene Regulatory Networks Transcription Factors MicroRNAs Biomarkers Coronary Artery Disease
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A diagnostic model for sepsis using an integrated machine learning framework approach and its therapeutic drug discovery.

BMC infectious diseases Feb 14, 2025
BACKGROUND: Sepsis remains a life-threatening condition in intensive care units (ICU) with high morbidity and mortality rates. Some biomarkers commonly used in clinic do not have the characteristics of rapid and specific growth and rapid decline afte...
Nomograms Machine Learning Humans Sepsis Algorithms Drug Discovery Gene Regulatory Networks Biomarkers Gene Expression Profiling
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Interpretable AI for inference of causal molecular relationships from omics data.

Science advances Feb 14, 2025
The discovery of molecular relationships from high-dimensional data is a major open problem in bioinformatics. Machine learning and feature attribution models have shown great promise in this context but lack causal interpretation. Here, we show that...
Alzheimer Disease Algorithms Gene Regulatory Networks Computational Biology Humans Machine Learning
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Combining machine learning with external validation to explore necroptosis and immune response in moyamoya disease.

BMC immunology Feb 13, 2025
Moyamoya disease (MMD) is a rare chronic vascular disease leads to cognitive impairment and stroke with its etiology unknown. The relationship between necroptosis or necroinflammation and MMD pathogenesis was poorly understood. Differentially express...
Necroptosis Immunity Moyamoya Disease Humans Machine Learning Gene Regulatory Networks Support Vector Machine Gene Expression Profiling Protein Interaction Maps
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Identification of critical biomarkers and immune infiltration in preeclampsia through bioinformatics and machine learning methods.

BMC pregnancy and childbirth Feb 11, 2025
BACKGROUND: Preeclampsia (PE) is a multisystem progressive disease that occurs during pregnancy. Previous studies have shown that the immune system is involved in the placental trophoblast function and the pathological process of uterine vascular rem...
Humans Machine Learning Biomarkers Pregnancy Gene Regulatory Networks Computational Biology Placenta Pre-Eclampsia Female Gene Expression Profiling ROC Curve
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