• DocumentCode
    3673214
  • Title

    New approaches to identify cancer heterogeneity in DNA methylation studies using the lepage test and multinomial logistic regression

  • Author

    Seongkeon Lee;Youngjun Piao;Huidong Shi;Jeong-Hyeon Choi

  • Author_Institution
    Department of Statistics, Sungshin Women´s University, Seoul, Korea
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    It is well known that cancer cells are diverse and heterogeneous among patients, and that this heterogeneity makes cancer diagnosis and cure difficult. Intra-tumoral heterogeneity has very recently become important because a small proportion of drug-resistant or tumor-initiating cells can ultimately determine a patient´s outcome. In this study, we propose new approaches to use variance tests, including the Lepage test, to identify inter-patient cancer heterogeneity, as well as multinomial logistic regression to identify intra-patient cancer heterogeneity, i.e., different epiallele composition. We conduct experiments to show the performance of the proposed approaches.
  • Keywords
    "Cancer","Standards","Logistics","Tumors","Bioinformatics","Genomics","Sequential analysis"
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 2015 IEEE Conference on
  • Type

    conf

  • DOI
    10.1109/CIBCB.2015.7300318
  • Filename
    7300318