• DocumentCode
    1047417
  • Title

    Co-clustering: A Versatile Tool for Data Analysis in Biomedical Informatics

  • Author

    Yoon, Sungroh ; Benini, Luca ; De Micheli, Giovanni

  • Volume
    11
  • Issue
    4
  • fYear
    2007
  • fDate
    7/1/2007 12:00:00 AM
  • Firstpage
    493
  • Lastpage
    494
  • Abstract
    Co-clustering has not been much exploited in biomedical informatics, despite its success in other domains. Most of the previous applications were limited to analyzing gene expression data. We performed co-clustering analysis on other types of data and obtained promising results, as summarized in this paper.
  • Keywords
    biology computing; data analysis; genetics; macromolecules; molecular biophysics; statistical analysis; biomedical informatics; co-clustering analysis; data analysis; gene expression; microRNA regulatory modules; Bioinformatics; Biomedical informatics; Bipartite graph; Data analysis; Gene expression; Genomics; Humans; Performance analysis; RNA; Text mining; Acute myeloid leukemia; biomedical informatics; co-clustering; microRNA; single nucleotide polymorphism; Algorithms; Cluster Analysis; Computational Biology; Oligonucleotide Array Sequence Analysis; Pattern Recognition, Automated; Polymorphism, Single Nucleotide; Sequence Analysis, DNA; Sequence Analysis, RNA;
  • fLanguage
    English
  • Journal_Title
    Information Technology in Biomedicine, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1089-7771
  • Type

    jour

  • DOI
    10.1109/TITB.2007.897575
  • Filename
    4267695
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1047417