• DocumentCode
    2249203
  • Title

    Estimate human gene family number by improved k-means clustering

  • Author

    Pu, Dongmei ; Yuan, Yubo ; Cao, Feilong

  • Author_Institution
    Inst. of Metrol. & Comput. Sci., China Jiliang Univ., Hangzhou, China
  • Volume
    6
  • fYear
    2010
  • fDate
    11-14 July 2010
  • Firstpage
    3146
  • Lastpage
    3149
  • Abstract
    The number of gene families is a very important issue among all of genome sequencing studies. In this paper, the genome sequences has been recoded. One of it is a 64 dimensional vector. The human genome database has been recoded as a matrix which has 64 columns. After using the improved k-means clustering algorithm, the family number can be checked out and every member of each family can be determined.
  • Keywords
    genetics; matrix algebra; medical computing; pattern clustering; genome sequencing; human gene family number estimation; human genome database; k-means clustering; Biological cells; DNA; Humans; Silicon; clustering; data mining; human genome;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4244-6526-2
  • Type

    conf

  • DOI
    10.1109/ICMLC.2010.5580732
  • Filename
    5580732
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2249203