• DocumentCode
    3714548
  • Title

    Understanding heterogeneity in pregnancy-associated breast cancer

  • Author

    T. Murlidharan Nair

  • Author_Institution
    Department of Biological Sciences and Computer Science/Informatics, Indiana University South Bend, 1700 Mishawaka Ave, 46634 USA
  • fYear
    2015
  • Firstpage
    1192
  • Lastpage
    1196
  • Abstract
    Breast cancers diagnosed during pregnancy are generally in their advanced stages. These cancers occurring during pregnancy and up to one year postpartum are termed as pregnancy associated breast cancer. Recent genomic studies by Harvell et. al. was the first large scale study that attempted to identify molecular signatures associated with pregnancy associated breast cancer. In this study, we have rigorously analyzed the data with a view to identify features involved in within-class and between-class separation. The results reveal features that are unique between classes, as well as point to the importance of understanding heterogeneity within the same class.
  • Keywords
    "Pregnancy","Cancer","Pediatrics"
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedicine (BIBM), 2015 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/BIBM.2015.7359851
  • Filename
    7359851