2018
DOI: 10.1155/2018/8406857
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Computational Approach to Investigating Key GO Terms and KEGG Pathways Associated with CNV

Abstract: Choroidal neovascularization (CNV) is a severe eye disease that leads to blindness, especially in the elderly population. Various endogenous and exogenous regulatory factors promote its pathogenesis. However, the detailed molecular biological mechanisms of CNV have not been fully revealed. In this study, by using advanced computational tools, a number of key gene ontology (GO) terms and KEGG pathways were selected for CNV. A total of 29 validated genes associated with CNV and 17,639 nonvalidated genes were enc… Show more

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Cited by 4 publications
(5 citation statements)
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“…The circRNA functional annotation was based on GO and KEGG annotations in accordance with a previous study. 17 CircRNA Differential Expression Analysis. According to the grouping of samples and FPKM values, differences in circRNA expression were analyzed using the DEseq software package.…”
Section: ■ Materials and Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The circRNA functional annotation was based on GO and KEGG annotations in accordance with a previous study. 17 CircRNA Differential Expression Analysis. According to the grouping of samples and FPKM values, differences in circRNA expression were analyzed using the DEseq software package.…”
Section: ■ Materials and Methodsmentioning
confidence: 99%
“…Subsequently, the screened circRNAs were annotated according to their positions in the genome and their relationships with protein coding genes. The circRNA functional annotation was based on GO and KEGG annotations in accordance with a previous study …”
Section: Methodsmentioning
confidence: 99%
“…To explore the putative molecular mechanisms linked with the prognostic signature of ERS, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed ( 18 ). The “limma” R package was used to determine the differential gene expressions between the two risk groups (the cutoffs were FDR<0.05 and |log2FC|>1).…”
Section: Methodsmentioning
confidence: 99%
“…The points distributed outside the two vertical borders and above the horizontal border represented the proteins with significant differences; proteins with at least a 1.5-fold change in expression and P<0.05 were considered significant. Subsequently, bioinformatics analysis, including GO and KEGG pathway analysis, was performed to identify differentially expressed proteins ( 18 ).…”
Section: Methodsmentioning
confidence: 99%