• DocumentCode
    460822
  • Title

    Gene Ranking Using R-Metric

  • Author

    Yang, Su

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Fudan Univ., Shanghai
  • Volume
    1
  • fYear
    2006
  • fDate
    Nov. 2006
  • Firstpage
    465
  • Lastpage
    469
  • Abstract
    Selecting a small number of genes from thousands of genes is useful in disease diagnosis. We propose in this study a new metric termed R-test to analyze how the instances of two classes distribute against each other. We validated the proposed scheme through two well-known benchmarks. R-test outperforms two-well known methods on the two benchmarks
  • Keywords
    biology computing; genetics; medical diagnostic computing; R-metric; R-test; disease diagnosis; gene ranking; Accuracy; Colon; Computational efficiency; Computer science; Diseases; Gene expression; Support vector machine classification; Support vector machines; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Security, 2006 International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    1-4244-0605-6
  • Electronic_ISBN
    1-4244-0605-6
  • Type

    conf

  • DOI
    10.1109/ICCIAS.2006.294178
  • Filename
    4072131
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=460822