AIMC Topic: Gene Regulatory Networks

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Analysis and validation of hub genes for atherosclerosis and AIDS and immune infiltration characteristics based on bioinformatics and machine learning.

Scientific reports Apr 10, 2025
Atherosclerosis is the major cause of cardiovascular diseases worldwide, and AIDS linked with chronic inflammation and immune activation, increases atherosclerosis risk. The application of bioinformatics and machine learning to identify hub genes for...
Acquired Immunodeficiency Syndrome Databases, Genetic Atherosclerosis Receptors, CCR5 Protein Interaction Maps Humans Gene Regulatory Networks Computational Biology Machine Learning Gene Expression Profiling Transcriptome
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Integrative Multi-Omics Analysis Reveals Molecular Subtypes of Ovarian Cancer and Constructs Prognostic Models.

Journal of immunotherapy (Hagerstown, Md. : 1997) Apr 9, 2025
Ovarian cancer (OV) remains the most lethal gynecological malignancy. The aim of this study was to identify molecular subtypes of OV through integrative multi-omics analysis and construct machine learning-based prognostic models for predicting the ef...
Machine Learning Prognosis Female Biomarkers, Tumor Humans Gene Expression Regulation, Neoplastic Databases, Genetic DNA Copy Number Variations Genomics Ovarian Neoplasms Gene Expression Profiling Computational Biology Mutation Transcriptome Immunotherapy Gene Regulatory Networks Multiomics
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Comprehensive analysis of scRNA-seq and bulk RNA-seq data via machine learning and bioinformatics reveals the role of lysine metabolism-related genes in gastric carcinogenesis.

BMC cancer Apr 9, 2025
BACKGROUND: Gastric cancer (GC) is a highly aggressive and heterogeneous cancer with extremely complex biological characteristics. Lysine and its metabolism are closely related to human cancer, but little is known about how lysine metabolism-related ...
Cell Proliferation Carcinogenesis Vimentin Stomach Neoplasms Biomarkers, Tumor Lysine Cell Line, Tumor Single-Cell Analysis Humans Computational Biology Machine Learning Sequence Analysis, RNA Prognosis Gene Expression Regulation, Neoplastic Nomograms RNA-Seq Gene Regulatory Networks Single-Cell Gene Expression Analysis
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Identification of thyroid cancer biomarkers using WGCNA and machine learning.

European journal of medical research Apr 5, 2025
OBJECTIVE: The incidence of thyroid cancer (TC) is increasing in China, largely due to overdiagnosis from widespread screening and improved ultrasound technology. Identifying precise TC biomarkers is crucial for accurate diagnosis and effective treat...
Humans Machine Learning Gene Expression Regulation, Neoplastic Biomarkers, Tumor Gene Expression Profiling Thyroid Neoplasms Gene Regulatory Networks
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Characterization of Enterocytozoon hepatopenaei infection stages in shrimp using machine learning and gene network analysis.

Journal of invertebrate pathology Apr 3, 2025
Enterocytozoon hepatopenaei (EHP), causing hepatopancreatic microsporidiosis (HPM), significantly impacts Litopenaeus vannamei, leading to economic losses. Using bioinformatics and machine learning, this study characterized EHP infection stages and h...
Enterocytozoon Gene Regulatory Networks Host-Pathogen Interactions Penaeidae Machine Learning Animals
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5-Repurposed Drug Candidates Identified in Motor Neurons and Muscle Tissues with Amyotrophic Lateral Sclerosis by Network Biology and Machine Learning Based on Gene Expression.

Neuromolecular medicine Apr 3, 2025
Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disorder that leads to motor neuron degeneration, muscle weakness, and respiratory failure. Despite ongoing research, effective treatments for ALS are limited. This study aimed to...
Transcriptome Gene Regulatory Networks Muscle, Skeletal Drug Repositioning Amyotrophic Lateral Sclerosis Motor Neurons Humans Machine Learning Gene Expression Profiling
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Integrating single-cell RNA sequencing, WGCNA, and machine learning to identify key biomarkers in hepatocellular carcinoma.

Scientific reports Apr 1, 2025
The microarray and single-cell RNA-sequencing (scRNA-seq) datasets of hepatocellular carcinoma (HCC) were downloaded from the Gene Expression Omnibus (GEO) database. Differential expression analysis and weighted gene co-expression network analysis (W...
Gene Regulatory Networks Sequence Analysis, RNA Gene Expression Regulation, Neoplastic Gene Expression Profiling Liver Neoplasms Carcinoma, Hepatocellular Single-Cell Analysis Machine Learning Biomarkers, Tumor Molecular Docking Simulation Humans
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Identification of biomarkers associated with M1 macrophages in the ST-segment elevation myocardial infarction through bioinformatics and machine learning approaches.

Scientific reports Apr 1, 2025
ST-segment elevation myocardial infarction (STEMI) is considered a critical cardiac condition with a poor prognosis. Shortly after STEMI occurs, the increased number of circulating leukocytes including macrophages can lead to the accumulation of more...
Leukocytes, Mononuclear Gene Expression Profiling Protein Interaction Maps Gene Regulatory Networks Female Male Middle Aged Computational Biology ST Elevation Myocardial Infarction Humans Machine Learning Macrophages Biomarkers
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Deep Neural Network-Mining of Rice Drought-Responsive TF-TAG Modules by a Combinatorial Analysis of ATAC-Seq and RNA-Seq.

Plant, cell & environment Mar 31, 2025
Drought is a critical risk factor that impacts rice growth and yields. Previous studies have focused on the regulatory roles of individual transcription factors in response to drought stress. However, there is limited understanding of multi-factor st...
Neural Networks, Computer RNA-Seq Stress, Physiological Gene Regulatory Networks Gene Expression Regulation, Plant Transcription Factors Droughts Oryza Chromatin Immunoprecipitation Sequencing Data Mining Plant Proteins
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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...
Computational Biology Infant, Newborn Humans Extracellular Traps Bronchopulmonary Dysplasia Neutrophils Machine Learning Gene Expression Profiling Biomarkers Gene Regulatory Networks
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