• DocumentCode
    1991574
  • Title

    Detection of heterogeneously expressed genes in cancer

  • Author

    Haney, Scott ; Kam, Moshe ; Hrebien, Leonid

  • Author_Institution
    Data Fusion Lab., Drexel Univ., Philadelphia, PA
  • fYear
    2008
  • fDate
    8-10 June 2008
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    Several mutations have been found to be heterogeneous throughout cancer samples. As an example, approximately 20% of lung cancer cases have a mutation in the proto-oncogene RAS. In order to specifically test for heterogeneous mutations we introduce a new test that measures differences between quantiles. It will be shown that this test can achieve larger power values than a previously published test by Coombes et al. when sample sizes are small (10-20 samples) and the probability of mutation is small (10%-40%). When applied to two publicly available microarray data sets our method also produces lists of results that are 12% and 27% the size of those produced by Coombes et al.
  • Keywords
    cancer; genetics; lung; medical computing; gene mutations; heterogeneous mutations; heterogeneously expressed gene detection; lung cancer; microarray data sets; mutation probability; proto-oncogene RAS mutation; Bioinformatics; Cancer detection; Diseases; Genetic mutations; Genomics; Humans; Laboratories; Lungs; Probability density function; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Genomic Signal Processing and Statistics, 2008. GENSiPS 2008. IEEE International Workshop on
  • Conference_Location
    Phoenix, AZ
  • Print_ISBN
    978-1-4244-2371-2
  • Electronic_ISBN
    978-1-4244-2372-9
  • Type

    conf

  • DOI
    10.1109/GENSIPS.2008.4555657
  • Filename
    4555657