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Clinical events in AMI patients.
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2022-07-28
相关数据集
Additional file 5 of Identifying patterns of immune related cells and genes in the peripheral blood of acute myocardial infarction patients using a small cohort
Additional file 5: Table S4. The immune cell infiltration pattern of AMI samples in the GSE61144 dataset.
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Exon-array profiling of peripheral blood cells in the first hours of acute coronary syndrome patients. Homo sapiens
Identifying novel candidate biomarker gene differentially expressed in the peripheral blood cells of patients with early stage acute myocardial infarction using microarray as a high throughput screeni
NIAID Data Ecosystem50
Additional file 4 of Application of machine learning to predict the occurrence of arrhythmia after acute myocardial infarction
Additional file 4. Differences in all 45 characteristics between the two groups.
DataCite Commons2021-11-02 更新40
Table_2_Systematic Bioinformatics Analysis Based on Public and Second-Generation Sequencing Transcriptome Data: A Study on the Diagnostic Value and Potential Mechanisms of Immune-Related Genes in Acute Myocardial Infarction.XLSX
Acute myocardial infarction (AMI) is one of the most serious cardiovascular diseases worldwide. Advances in genomics have provided new ideas for the development of novel molecular biomarkers of potent
NIAID Data Ecosystem50
MOESM6 of Peripheral T cell receptor beta immune repertoire is promptly reconstituted after acute myocardial infarction
Additional file 6: Table S5. The distribution of CDR3 AA clonotypes in each sample.
NIAID Data Ecosystem40
