IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-030-41862-5_80.html

Clustering of Various Diseases by Collagen Gene Using the Positional Factor

In: New Trends in Computational Vision and Bio-inspired Computing

Author

Listed:
  • S. Gowri

    (Sathyabama Institute of Science and Technology, School of Computing)

  • S. Revathy

    (Sathyabama Institute of Science and Technology, School of Computing)

  • S. Vigneshwari

    (Sathyabama Institute of Science and Technology, School of Computing)

  • J. Jabez

    (Sathyabama Institute of Science and Technology, School of Computing)

  • Yovan Felix

    (Sathyabama Institute of Science and Technology, School of Computing)

  • Senduru Srinivasulu

    (Sathyabama Institute of Science and Technology, School of Computing)

Abstract

Collagen Gene is a protein which is otherwise called alpha-1 type I collagen is found in human beings in type of COL1A1 encoded. The real encoding segment is type I collagen which is the fibrillar collagen. This febrile collagen includes the cartilage which is mainly found in the connectivity tissues. The diseases caused by this collagen are Osteogenesis imperfecta, Chondrodysplasias, Ehlers-Danlos Syndrome, Alport syndrome, Osteoporosis and Knobloch syndrome. These syndromes are associated according to the kinds of collagen which are from Type I to XVIII. Each kind of syndrome has respective impacts over human in which these five syndromes have real impact over the body. Clustering is one of the information mining techniques which is utilized to gather similar articles. The proposed framework is mainly utilized to assemble the significance of disease according to the phases of the collagen gene compose. This procedure of clustering is finished using the Dynamic Path Selection Clustering algorithm to assist in the prompts over the recurrence, conditional changes and its clinical significance which demonstrates the analytical factor in the gene behaviour.

Suggested Citation

  • S. Gowri & S. Revathy & S. Vigneshwari & J. Jabez & Yovan Felix & Senduru Srinivasulu, 2020. "Clustering of Various Diseases by Collagen Gene Using the Positional Factor," Springer Books, in: S. Smys & Abdullah M. Iliyasu & Robert Bestak & Fuqian Shi (ed.), New Trends in Computational Vision and Bio-inspired Computing, pages 803-809, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-41862-5_80
    DOI: 10.1007/978-3-030-41862-5_80
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    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:spr:sprchp:978-3-030-41862-5_80. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.