Selected article for: "analysis test and statistical analysis test"

Author: Tristan de Jong; Victor Guryev; Yury M. Moshkin
Title: Discovery of pharmaceutically-targetable pathways and prediction of survivorship for pneumonia and sepsis patients from the view point of ensemble gene noise
  • Document date: 2020_4_11
  • ID: f5w05rc2_1
    Snippet: Upon calling significantly changed genes, to make biological sense, these genes are mapped to known biological pathways, such as GO or KEGG [21, 22] , or to subunits of protein complexes annotated by CORUM or other interaction databases [23] . Thus, a second statistical test is required, namely gene set enrichment analysis (GSEA). However, this is not without its own caveats. The major one is that GSEA depends on the statistical inference of DGE .....
    Document: Upon calling significantly changed genes, to make biological sense, these genes are mapped to known biological pathways, such as GO or KEGG [21, 22] , or to subunits of protein complexes annotated by CORUM or other interaction databases [23] . Thus, a second statistical test is required, namely gene set enrichment analysis (GSEA). However, this is not without its own caveats. The major one is that GSEA depends on the statistical inference of DGE and DGE cut-offs [24, 25] . As a result, biological interpretations from DGE might be drastically affected by pitfalls arising from the fluctuation-response relationship, DGE thresholding and the choice of statistical approach for GSEA.

    Search related documents:
    Co phrase search for related documents
    • biological interpretation and gene set: 1, 2
    • biological pathway and cut off: 1, 2, 3
    • biological pathway and enrichment analysis: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20
    • biological pathway and gene set: 1, 2, 3, 4
    • biological pathway and GSEA enrichment analysis: 1
    • biological pathway and GSEA enrichment analysis gene set: 1
    • cut off and DGE cut off: 1
    • cut off and enrichment analysis: 1, 2, 3, 4
    • cut off and gene set: 1, 2, 3, 4
    • cut off and GSEA enrichment analysis: 1, 2
    • cut off and GSEA enrichment analysis gene set: 1, 2
    • cut off and GSEA enrichment analysis gene set require: 1
    • DGE cut off and enrichment analysis: 1
    • DGE cut off and gene set: 1
    • DGE cut off and GSEA enrichment analysis: 1
    • DGE cut off and GSEA enrichment analysis gene set: 1
    • DGE cut off and GSEA enrichment analysis gene set require: 1
    • enrichment analysis and GSEA enrichment analysis gene set: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
    • enrichment analysis and GSEA enrichment analysis gene set require: 1