Prediction of marker genes associated with hypertension by bioinformatics analyses
نویسندگان
چکیده
منابع مشابه
Prediction of marker genes associated with hypertension by bioinformatics analyses
This study aimed to explore the underlying marker genes associated with hypertension by bioinformatics analyses. A gene expression profile (GSE54015) was downloaded. The differentially expressed genes (DEGs) between the normotensive female (NF) and hypertensive female (HF), and between the normotensive male (NM) and hypertensive male (HM) groups were analyzed. Gene Ontology (GO) and pathway enr...
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This study aimed to explore the underlying genes and pathways associated with pancreatic ductal adenocarcinoma (PDAC) by bioinformatics analyses. Gene expression profile GSE43795 was downloaded from the Gene Expression Omnibus database. The differentially expressed genes (DEGs) between six PDAC and five non-neoplastic pancreatic tissue samples were analyzed using the limma package. Gene ontolog...
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BACKGROUND/AIMS Ischemia-reperfusion (IR) injury in the kidney is a major cause of acute kidney injury in humans. However, the molecular mechanisms responsible for the progression of kidney IR injury still need to be explored. In this study, we aimed to explore the underlying genes and pathways associated with kidney IR injury. METHODS Gene microarray of GSE27274 was downloaded from the Gene ...
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ژورنال
عنوان ژورنال: International Journal of Molecular Medicine
سال: 2017
ISSN: 1107-3756,1791-244X
DOI: 10.3892/ijmm.2017.3000