AIMC Topic: Databases, Genetic
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ieGENES: A machine learning method for selecting differentially expressed genes in cancer studies.
Journal of biomedical informatics
Feb 28, 2025
Gene selection is crucial for cancer classification using microarray data. In the interests of improving cancer classification accuracy, in this paper, we developed a new wrapper method called ieGENES for gene selection. First we proposed a parsimoni...
Identify the potential target of efferocytosis in knee osteoarthritis synovial tissue: a bioinformatics and machine learning-based study.
Frontiers in immunology
Feb 27, 2025
INTRODUCTION: Knee osteoarthritis (KOA) is a degenerative joint disease characterized by the progressive deterioration of cartilage and synovial inflammation. A critical mechanism in the pathogenesis of KOA is impaired efferocytosis in synovial tissu...
Identification of lipid metabolism related immune markers in atherosclerosis through machine learning and experimental analysis.
Frontiers in immunology
Feb 25, 2025
BACKGROUND: Atherosclerosis is a significant contributor to cardiovascular disease, and conventional diagnostic methods frequently fall short in the timely and accurate detection of early-stage atherosclerosis. Abnormal lipid metabolism plays a criti...
Atrial fibrillation risk model based on LASSO and SVM algorithms and immune infiltration of key mitochondrial energy metabolism genes.
Scientific reports
Feb 24, 2025
Atrial fibrillation (AF) is a predominant cardiac arrhythmia with unclear etiology. This study used bioinformatics and machine learning to explore the relationship between mitochondrial energy metabolism-related genes (MEMRGs) and immune infiltration...
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...
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
Computational Biology
Humans
Transcription Factors
Gene Expression Profiling
Machine Learning
Interleukin-1beta
Protein Interaction Maps
Databases, Genetic
Biomarkers
Coronary Artery Disease
Gene Regulatory Networks
MicroRNAs
A machine learning-based investigation of integrin expression patterns in cancer and metastasis.
Scientific reports
Feb 12, 2025
Integrins, a family of transmembrane receptor proteins, are well known to play important roles in cancer development and metastasis. However, a comprehensive understanding of these roles has not been achieved due to the complex relationships between ...
A multi-classification deep neural network for cancer type identification from high-dimension, small-sample and imbalanced gene microarray data.
Scientific reports
Feb 12, 2025
Gene microarray technology provides an efficient way to diagnose cancer. However, microarray gene expression data face the challenges of high-dimension, small-sample, and multi-class imbalance. The coupling of these challenges leads to inaccurate res...
Analysis and validation of programmed cell death genes associated with spinal cord injury progression based on bioinformatics and machine learning.
International immunopharmacology
Feb 9, 2025
BACKGROUND: Spinal cord injury (SCI) is a severe condition affecting the central nervous system. It is marked by a high disability rate and potential for death. Research has demonstrated that programmed cell death (PCD) plays a significant role in th...
Utilizing bioinformatics and machine learning to identify CXCR4 gene-related therapeutic targets in diabetic foot ulcers.
Frontiers in endocrinology
Feb 7, 2025
BACKGROUND: Diabetic foot ulcers (DFUs) are a serious complication of diabetes mellitus that manifests as chronic, non-healing wounds that have a significant impact on patients quality of life. Identifying key molecular targets associated with DFUs c...
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