• DocumentCode
    1784989
  • Title

    Exploration of leukemia gene regulatory networks using a systems biology approach

  • Author

    Dong Ling Tong ; Ball, Graham R.

  • Author_Institution
    John van Geest Cancer Res. Centre, Nottingham Trent Univ., Nottingham, UK
  • fYear
    2014
  • fDate
    2-5 Nov. 2014
  • Firstpage
    68
  • Lastpage
    73
  • Abstract
    Despite extensive studies in cytogenetic and mutations in leukemia cancer, new diagnoses were detected each year. This is due to multifactorial characteristic of hematopoietic disease and a lack of systematic-level information on genetic interaction and pathways between markers to understand the development and progression of leukemia. Thus, this study aims to sought a systems biology approach to infer gene regulatory networks of leukemia-related markers. Results demonstrated the effectiveness of a systems biology approach to simplify complex genetic interactions without losing important biological information of the genes. Key markers that inter-connected other leukemia-associated markers were identified.
  • Keywords
    cancer; genetics; patient diagnosis; biology approach; genetic interaction; hematopoietic disease; leukemia cancer; leukemia gene regulatory networks; leukemia progression; leukemia-associated markers; leukemia-related markers; multifactorial characteristics; patient diagnosis; systematic-level information; Biological system modeling; Cancer; Diseases; Inference algorithms; Proteins; Systems biology; Cytoscape; STRING; acute leukemia; artificial neural network inference algorithm; systems biology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedicine (BIBM), 2014 IEEE International Conference on
  • Conference_Location
    Belfast
  • Type

    conf

  • DOI
    10.1109/BIBM.2014.6999250
  • Filename
    6999250