• DocumentCode
    2770926
  • Title

    Exploratory Tools for Follow-Up Studies to Microarray Experiments

  • Author

    Sinha, Kaushik ; Jin, Ruoming ; Agrawal, Gagan ; Piontkivska, Helen

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Ohio State Univ., Columbus, OH
  • fYear
    2006
  • fDate
    16-18 Oct. 2006
  • Firstpage
    81
  • Lastpage
    85
  • Abstract
    In this paper we present two different exploratory tools for data analysis following a gene microarray experiment. The first tool is based on a novel data mining formulation, called hypergraph mining. In the second tool, we provide a family of expectation based similarity measures between sets of genes or between a set and a single gene. We have evaluated these two tools using output from two different microarray studies. We showed how many interesting observations could be made using our tools, and how the results from the two tools were similar in many ways
  • Keywords
    biology computing; data analysis; data mining; genetics; data analysis; data mining formulation; gene microarray experiment; hypergraph mining; Biology; Computer science; DNA; Data analysis; Data engineering; Data mining; Diseases; Joining processes; Ontologies; Proteins;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    BioInformatics and BioEngineering, 2006. BIBE 2006. Sixth IEEE Symposium on
  • Conference_Location
    Arlington, VA
  • Print_ISBN
    0-7695-2727-2
  • Type

    conf

  • DOI
    10.1109/BIBE.2006.253319
  • Filename
    4019644