IDEAS home Printed from https://ideas.repec.org/a/tec/bioche/ojs4968.html

Approaches on Modelling Genes Interactions: A Review

Author

Listed:
  • Dhafar Sami Hammadi

    (Computer Science Dept./ University of Mosul, Iraq)

  • Basim Mahmood

    (Computer Science Dept./ University of Mosul, Iraq & BioComplex Lab., Exeter, UK)

  • Marwah M. A. Dabdawb

    (Software Dept./ University of Mosul, Iraq)

Abstract

The human genome is a set of humans’ nucleic acid sequences that are encoded as DNA in the human chromosome pairs. These are usually treated separately as the nuclear genome and the mitochondrial genome. Studying and understanding genetic systems has a great impact on health. Therefore, in the last few decades, the world has witnessed a great revolution in genetic engineering that aims to identify new phenomena and support mitigating the effect of diseases or even find ultimate solutions. The first step in studying genetics data is modelling this data and use some analysis approaches. The main problem of researchers is finding appropriate approaches for modelling their genetics data. This work comes to review the literature and present a variety of approaches used by researchers in modelling genetics data and genes interactions. This review tries to make it easy for researchers when adopting particular modelling approaches by presenting the state-of-the-art in terms of the dataset used, strengths, and limitations.

Suggested Citation

  • Dhafar Sami Hammadi & Basim Mahmood & Marwah M. A. Dabdawb, 2021. "Approaches on Modelling Genes Interactions: A Review," Technium BioChemMed: Journal of Multidisciplinary Research, Biology, Chemistry and Medicine ISSN 2734 - 7990, Technium Science, vol. 2(4), pages 38-52, October.
    • Handle: RePEc:tec:bioche:ojs:4968
    as

    Download full text from publisher

    File URL: https://techniumscience.com/index.php/biochemmed/article/view/4968
    Download Restriction: no
    ---><---

    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:tec:bioche:ojs:4968. 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: Anna Maria Golita (email available below). General contact details of provider: .

    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.