AIMC Topic: Genetic Markers

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Identification of lipid metabolism-related gene markers and construction of a diagnostic model for multiple sclerosis: An integrated analysis by bioinformatics and machine learning.

Analytical biochemistry Jan 22, 2025
BACKGROUND: Multiple sclerosis (MS) is an autoimmune inflammatory disorder that causes neurological disability. Dysregulated lipid metabolism contributes to the pathogenesis of MS. This study aimed to identify lipid metabolism-related gene markers an...
Humans Neural Networks, Computer Computational Biology Lipid Metabolism Genetic Markers Multiple Sclerosis Machine Learning Biomarkers Molecular Docking Simulation Protein Interaction Maps
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Sex identification in rainbow trout using genomic information and machine learning.

Genetics, selection, evolution : GSE Dec 30, 2024
Sex identification in farmed fish is important for the management of fish stocks and breeding programs, but identification based on visual characteristics is typically difficult or impossible in juvenile or premature fish. The amount of genomic data ...
Machine Learning Female Animals Male Breeding Sex Determination Analysis Oncorhynchus mykiss Genomics Genotype Aquaculture Genetic Markers
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AI-driven feature selection and epigenetic pattern analysis: A screening strategy of CpGs validated by pyrosequencing for body fluid identification.

Forensic science international Dec 6, 2024
Identification of body fluid stain at crime scene is one of the important tasks of forensic evidence analysis. Currently, body fluid-specific CpGs detected by DNA methylation microarray screening, have been widely studied for forensic body fluid iden...
Menstruation Cervix Mucus Genetic Markers Saliva CpG Islands Machine Learning Forensic Genetics Algorithms Female Male Epigenesis, Genetic Sequence Analysis, DNA DNA Methylation Semen Humans
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Exploring acetylation-related gene markers in polycystic ovary syndrome: insights into pathogenesis and diagnostic potential using machine learning.

Gynecological endocrinology : the official journal of the International Society of Gynecological Endocrinology Nov 25, 2024
OBJECTIVE: Polycystic ovary syndrome (PCOS) is a prevalent cause of menstrual irregularities and infertility in women, impacting quality of life. Despite advancements, current understanding of PCOS pathogenesis and treatment remains limited. This stu...
Genetic Markers Polycystic Ovary Syndrome Acetylation Humans Machine Learning Female
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Identification of Taihang-chicken-specific genetic markers using genome-wide SNPs and machine learning: BREED-SPECIFIC SNPS OF TAIHANG CHICKEN.

Poultry science Nov 22, 2024
Taihang is an indigenous breed in Hebei Province and has a long history of evolution. To uncover the genetic basis and protect the genetic resources, it is important to develop accurate markers to identify Taihang at the molecular level. In this stud...
Machine Learning Animals China Polymorphism, Single Nucleotide Chickens Genetic Markers Genome Linkage Disequilibrium
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The diagnostic value investigation of programmed cell death genes in heart failure.

BMC cardiovascular disorders Nov 22, 2024
BACKGROUND: We aimed to identify the potential diagnostic markers and associated molecular mechanisms based on programmed cell death (PCD)-related genes in patients with heart failure (HF).
Databases, Genetic Apoptosis Predictive Value of Tests Genetic Markers Case-Control Studies Protein Interaction Maps Gene Regulatory Networks Nomograms Heart Failure Plasminogen Activator Inhibitor 1 Gene Expression Regulation Apoptosis Regulatory Proteins Humans Machine Learning Reproducibility of Results Gene Expression Profiling Transcriptome
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A multi-class support vector machine classification model based on 14 microRNAs for forensic body fluid identification.

Forensic science international. Genetics Nov 21, 2024
MicroRNAs (miRNAs) are promising biomarkers for forensic body fluid identification owing to their small size, stability against degradation, and differential expression patterns. However, the expression of most body fluid-miRNAs is relative (differen...
Pericardial Fluid Forensic Genetics Gene Expression Profiling Menstruation Real-Time Polymerase Chain Reaction Cervix Mucus Support Vector Machine Humans Semen MicroRNAs Female Genetic Markers Adult Saliva Male Body Fluids
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Screening COPD-Related Biomarkers and Traditional Chinese Medicine Prediction Based on Bioinformatics and Machine Learning.

International journal of chronic obstructive pulmonary disease Sep 24, 2024
PURPOSE: To employ bioinformatics and machine learning to predict the characteristics of immune cells and genes associated with the inflammatory response and ferroptosis in chronic obstructive pulmonary disease (COPD) patients and to aid in the devel...
Gene Expression Profiling Genetic Markers Biomarkers Humans Computational Biology MicroRNAs Pulmonary Disease, Chronic Obstructive Transcriptome Machine Learning Predictive Value of Tests Databases, Genetic Lung Phenotype Gene Regulatory Networks Mendelian Randomization Analysis Medicine, Chinese Traditional Molecular Docking Simulation Genetic Predisposition to Disease Drugs, Chinese Herbal Ferroptosis
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Discovery of Novel Biomarkers with Extended Non-Coding RNA Interactor Networks from Genetic and Protein Biomarkers.

International journal of molecular sciences Sep 23, 2024
Curated online interaction databases and gene ontology tools have streamlined the analysis of highly complex gene/protein networks. However, understanding of disease pathogenesis has gradually shifted from a protein-based core to complex interactive ...
Humans Biomarkers Protein Interaction Maps Gene Ontology RNA, Untranslated Gene Regulatory Networks Databases, Genetic Psoriasis Genetic Markers
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Accurate prediction of antimicrobial resistance and genetic marker of Staphylococcus aureus clinical isolates using MALDI-TOF MS and machine learning - across DRIAMS and Taiwan database.

International journal of antimicrobial agents Sep 6, 2024
BACKGROUND: The use of matrix-assisted laser desorption/ionisation-time-of-flight mass spectra (MALDI-TOF MS) with machine learning (ML) has been explored for predicting antimicrobial resistance. This study evaluates the effectiveness of MALDI-TOF MS...
Humans Staphylococcal Infections Machine Learning Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Staphylococcus aureus Anti-Bacterial Agents Penicillin-Binding Proteins Taiwan Drug Resistance, Bacterial Oxacillin Bacterial Proteins Databases, Factual Genetic Markers Microbial Sensitivity Tests
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