Selected article for: "enrichment analysis and gene annotation"

Author: Gao, Mengqi; Lin, Yi; Liu, Xing; Li, Yiming; Zhang, Chuanbao; Wang, Zheng; Wang, Zhiliang; Wang, Yulin; Guo, Zongze
Title: ISG20 promotes local tumor immunity and contributes to poor survival in human glioma
  • Document date: 2018_10_31
  • ID: 6m4q219k_32
    Snippet: Gene annotation and pathway analyses were performed by Database for Annotation, Visualization and Integrated Discovery (DAVID v6.8 http://david.abcc.n-cifcrf.gov/), STRING (version 10.5 https://string-db.org/), and Kyoto Encyclopedia of Genes and Genomes (KEGG http://www. kegg.jp/kegg/pathway.html). Gene Set Enrichment Analysis (GSEA) was used to explore biological functions associated with ISG20. Gene Set Variation Analysis (GSVA package of R ht.....
    Document: Gene annotation and pathway analyses were performed by Database for Annotation, Visualization and Integrated Discovery (DAVID v6.8 http://david.abcc.n-cifcrf.gov/), STRING (version 10.5 https://string-db.org/), and Kyoto Encyclopedia of Genes and Genomes (KEGG http://www. kegg.jp/kegg/pathway.html). Gene Set Enrichment Analysis (GSEA) was used to explore biological functions associated with ISG20. Gene Set Variation Analysis (GSVA package of R http://www.bioconductor.org/) was implemented to validate the relationship of ISG20 and the candidate functions. To further define the immune cell subpopulations affected by ISG20 expression, we used the GSVA to explore the relationship between ISG20 and the predefined, highly distinctive transcriptional profile of each immune cell type. [71] [72] [73] [74] Twenty-four types of immune cells with corresponding gene signatures were analyzed (Table S7) . A threshold of an absolute correlation coefficient (r) greater than 0.3 with a p-value < 0.05 was used for selecting immune cells significantly correlated with ISG20.

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