通过生物信息学方法分析扩张型心肌病的基因表达谱

资源简介

通过生物信息学方法分析扩张型心肌病的基因表达谱

【数据集背景】

本数据集源站标题为《Analyzing gene expression profiles in dilated cardiomyopathy via bioinformatics methods》。配套论文《Analyzing gene expression profiles in dilated cardiomyopathy via bioinformatics methods》发表于 Brazilian Journal of Medical and Biological Research（2016），DOI：10.1590/1414-431x20164897。源站首次发布：2019-03-27。

【数据内容】

源站原始描述：Dilated cardiomyopathy (DCM) is characterized by ventricular dilatation, and it is a common cause of heart failure and cardiac transplantation. This study aimed to explore potential DCM-related genes and their underlying regulatory mechanism using methods of bioinformatics. The gene expression profiles of GSE3586 were downloaded from Gene Expression Omnibus database, including 15 normal samples and 13 DCM samples. The differentially expressed genes (DEGs) were identified between normal and DCM s…

【数据结构与技术规格】

文件数 4 个，合计 354.87 KB。数据集 DOI：10.6084/m9.figshare.7898762.v1。

【主题与分类】

源站学科分类：Medicine、Microbiology not elsewhere classified。主题标签：Dilated cardiomyopathy、Differentially expressed genes、Pathway enrichment analysis、Transcription factors、microRNAs、Small molecules。

【适用方向】

源站学科分类标注为 Medicine、Microbiology not elsewhere classified。

【获取与许可】

源站页面：https://scielo.figshare.com/articles/dataset/Analyzing_gene_expression_profiles_in_dilated_cardiomyopathy_via_bioinformatics_methods/7898762

使用许可：CC BY 4.0（https://creativecommons.org/licenses/by/4.0/）。

规范引用：Wang, Liming; Zhu, L.; Luan, R.; Wang, L.; Fu, J.; Wang, X.; et al. (2016). Analyzing gene expression profiles in dilated cardiomyopathy via bioinformatics methods. SciELO journals. Dataset

【使用注意】

· 源站最后修改于 2023-05-30，引用时请注意版本时效。