التفاصيل البيبلوغرافية
| العنوان: |
Exploring the predictive values of SERP4 and FRZB in dilated cardiomyopathy based on an integrated analysis |
| المؤلفون: |
Bin Qi, Hai-Yan Wang, Xiao Ma, Yu-Feng Chi, Chun Gui |
| المصدر: |
BMC Cardiovascular Disorders, Vol 24, Iss 1, Pp 1-13 (2024) |
| بيانات النشر: |
BMC, 2024. |
| سنة النشر: |
2024 |
| المجموعة: |
LCC:Diseases of the circulatory (Cardiovascular) system |
| مصطلحات موضوعية: |
GEO analysis, Dilated cardiomyopathy, Artificial neural network, Random forest, Diseases of the circulatory (Cardiovascular) system, RC666-701 |
| الوصف: |
Abstract Background and objective The aim of this study was to investigate potential hub genes for dilated cardiomyopathy (DCM). Methods Five DCM-related microarray datasets were downloaded from the Gene Expression Omnibus (GEO). Differentially expressed genes (DEGs) were used for identification. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment, disease ontology, gene ontology annotation and protein-protein interaction (PPI) network analysis were then performed, while a random forest was constructed to explore central genes. Artificial neural networks were used to compare with known genes and to develop new diagnostic models. 240 population blood samples were collected and expression of hub genes was verified in these samples using RT-PCR and demonstrated by Nomogram. Results After differential analysis, 33 genes were statistically significant (adjusted P |
| نوع الوثيقة: |
article |
| وصف الملف: |
electronic resource |
| اللغة: |
English |
| تدمد: |
1471-2261 |
| Relation: |
https://doaj.org/toc/1471-2261 |
| DOI: |
10.1186/s12872-024-04255-6 |
| URL الوصول: |
https://doaj.org/article/93023c0108d84f378af311689f396585 |
| رقم الانضمام: |
edsdoj.93023c0108d84f378af311689f396585 |
| قاعدة البيانات: |
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