SynthesisBioengineered2021
Potential role of a three-gene signature in predicting diagnosis in patients with myocardial infarction.
Synthesis in Bioengineered, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Identification of a Four-Gene Signature for Diagnosing Paediatric Sepsis.BioMed research international · 2022Pooled it
- Identification of Novel Therapeutic Targets for MAFLD Based on Bioinformatics Analysis Combined with Mendelian Randomization.International journal of molecular sciences · 2025Article
- Enhancing radiotherapy in triple-negative breast cancer with hesperetin-induced ferroptosis via AURKA targeting nanocomposites.Journal of nanobiotechnology · 2024Article
- Integrated bioinformatics and machine learning algorithms reveal the unfolded protein response pathways and immune infiltration in acute myocardial infarction.Journal of thoracic disease · 2024Article
- Investigating the risk factors for nonadherence to analgesic medications in cancer patients: Establishing a nomogram model.Heliyon · 2024Article
- Identification of Molecular Correlations of GSDMD with Pyroptosis inAlzheimer's Disease.Combinatorial chemistry & high throughput screening · 2024Article
- Utilizing systematic Mendelian randomization to identify potential therapeutic targets for mania.Frontiers in psychiatry · 2024Article
- Unfolded protein response pathways in stroke patients: a comprehensive landscape assessed through machine learning algorithms and experimental verification.Journal of translational medicine · 2023Article
- Association of Soluble IL-1 Receptor Type 2 with Recovery of Left Ventricular Function and Clinical Outcomes in Acute Myocardial Infarction.Reviews in cardiovascular medicine · 2022Article
- Identifying Genes Related to Acute Myocardial Infarction Based on Network Control Capability.Genes · 2022Article
- Identification of Diagnostic Biomarkers, Immune Infiltration Characteristics, and Potential Compounds in Rheumatoid Arthritis.BioMed research international · 2022Article
- Construction of the ceRNA network in the progression of acute myocardial infarction.American journal of cardiovascular disease · 2022Article
- Multiple-model machine learning identifies potential functional genes in dilated cardiomyopathy.Frontiers in cardiovascular medicine · 2022Article
- Machine learning-based integration develops biomarkers initial the crosstalk between inflammation and immune in acute myocardial infarction patients.Frontiers in cardiovascular medicine · 2022Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this study, we evaluated the diagnostic value of key genes in myocardial infarction (MI) based on data from the Gene Expression Omnibus (GEO) database. We used data from GSE66360 to identify a set of significant differentially expressed genes (DEGs) between MI and healthy controls. Logistic regression, least absolute shrinkage and selection operator (LASSO) regression, support vector machine recursive feature elimination (SVM-RFE), and SignalP 3.0 server were used to identify the potential role of genes in predicting diagnosis in patients with MI. Principal component analysis (PCA), receiver operating characteristic (ROC) curve analyses, area under the curve (AUC) analyses, and C-index were used to estimate the diagnostic value of genes in patients with MI. The association was validated using six other independent data sets. Subsequently, bioinformatics analysis was conducted based on the aforementioned potential genes. A meta-analysis was performed to evaluate the diagnostic value of the genes in MI. Forty-four DEGs were selected from the GSE66360 dataset. A three-gene signature consisting of
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