• DocumentCode
    3177134
  • Title

    Partial AUC for Differentiated Gene Detection

  • Author

    Liu, Zhenqiu ; Hyslop, Terry

  • Author_Institution
    Greenebaum Cancer Center, Univ. of Maryland, Baltimore, MD, USA
  • fYear
    2010
  • fDate
    May 31 2010-June 3 2010
  • Firstpage
    310
  • Lastpage
    311
  • Abstract
    Partial AUC (pAUC) represents the area with a restricted range of specificity (e.g. low false positive rate). It may identify important regional differentiated genes missed by full-range analysis. Unlike the popular t-test, which is based on the mean difference and the standard deviation between the disease and health groups, pAUC based test statistic relies on the rank of a gene in different samples. It can effectively detect genes that are not significant in a t-test and only differentiated in a subset of the disease groups. Our experiments with real gene expression data show that the proposed pAUC statistic is appealing in terms of both detection power and the biological relevance of the results.
  • Keywords
    bioinformatics; diseases; genetics; statistical analysis; area under the ROC curve; differentiated gene detection; disease; full-range analysis; health groups; pAUC based test statistic; partial AUC; regional differentiated genes; specificity; Bioinformatics; Biomedical engineering; Cancer detection; Diseases; Gene expression; Neoplasms; Sensitivity; Statistical analysis; Testing; USA Councils; Differentiated Genes; Partial AUC; Specificity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    BioInformatics and BioEngineering (BIBE), 2010 IEEE International Conference on
  • Conference_Location
    Philadelphia, PA
  • Print_ISBN
    978-1-4244-7494-3
  • Type

    conf

  • DOI
    10.1109/BIBE.2010.68
  • Filename
    5521659