IDEAS home Printed from https://ideas.repec.org/a/hin/complx/8816633.html
   My bibliography  Save this article

Analysis and Research of Key Genes in Gene Expression Network Based on Complex Network

Author

Listed:
  • Guobin Chen
  • Jun Qi
  • Chao Tang
  • Ying Wang
  • Yongzhong Wu
  • Xiaolong Shi

Abstract

Gene expression network is also a type of complex network. It is challenging to analyze the gene expression network through relevant knowledge and algorithms of a complex network. In this paper, the existing characteristics of genes are analyzed from various indexes of the gene expression network to analyze key genes and TOP genes. Firstly, gene chip data are screened, gene data with obvious characteristics are selected, and relevant clustering characteristics are analyzed. Then, the complex gene network structure is established, and gene networks with different threshold shapes and different sizes are selected. Finally, the relevant indexes and PR values after the PageRank algorithm are analyzed for complex networks under different thresholds, thus establishing the TOP gene and PR sequence.

Suggested Citation

  • Guobin Chen & Jun Qi & Chao Tang & Ying Wang & Yongzhong Wu & Xiaolong Shi, 2020. "Analysis and Research of Key Genes in Gene Expression Network Based on Complex Network," Complexity, Hindawi, vol. 2020, pages 1-12, December.
  • Handle: RePEc:hin:complx:8816633
    DOI: 10.1155/2020/8816633
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/8503/2020/8816633.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/8503/2020/8816633.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2020/8816633?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hin:complx:8816633. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.