Cargando…
Constructing differential co-expression network to predict key pathways for myocardial infarction
New thoughts are warranted to develop efficient diagnosis and optimal therapeutics to combat unstable angina (UA)/myocardial infarction (MI). Therefore, the gene data of patients with UA or MI were used in this study to identify the optimal pathways which can provide comprehensive information for UA...
Autores principales: | Guo, Su-Zhen, Liu, Wen-Jie |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
D.A. Spandidos
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6434241/ https://www.ncbi.nlm.nih.gov/pubmed/30936974 http://dx.doi.org/10.3892/etm.2019.7321 |
Ejemplares similares
-
Construction and analysis for differentially expressed long non-coding RNAs and mRNAs in acute myocardial infarction
por: Song, Ning, et al.
Publicado: (2020) -
Dysregulated lncRNAs are involved in the progress of myocardial infarction by constructing regulatory networks
por: Yang, Jingqi, et al.
Publicado: (2023) -
Potential biomarkers of acute myocardial infarction based on co-expression network analysis
por: Hu, Zhaohui, et al.
Publicado: (2022) -
Identification of key genes involved in myocardial infarction
por: Qiu, Linlin, et al.
Publicado: (2019) -
Construction of Novel Gene Signature-Based Predictive Model for the Diagnosis of Acute Myocardial Infarction by Combining Random Forest With Artificial Neural Network
por: Wu, Yanze, et al.
Publicado: (2022)