• Register
  • Login

European Journal of Molecular & Clinical Medicine

  • Home
  • Browse
    • Current Issue
    • By Issue
    • By Subject
    • Keyword Index
    • Author Index
    • Indexing Databases XML
  • Journal Info
    • About Journal
    • Aims and Scope
    • Editorial Board
    • Publication Ethics
    • Indexing and Abstracting
    • Peer Review Process
    • News
  • Guide for Authors
  • Submit Manuscript
  • Contact Us
Advanced Search

Notice

As part of Open Journals’ initiatives, we create website for scholarly open access journals. If you are responsible for this journal and would like to know more about how to use the editorial system, please visit our website at https://ejournalplus.com or
send us an email to info@ejournalplus.com

We will contact you soon

  1. Home
  2. Volume 7, Issue 10
  3. Author

Online ISSN: 2515-8260

Volume7, Issue10

Cancer Genome Classification Using Machine Learning Algorithm

    Tahmeena Fatima , S Jyothi , D M Mamatha , K Srujan Raju

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 10, Pages 923-935

  • Show Article
  • Download
  • Cite
  • Statistics
  • Share

Abstract

In present scenario, cancer is the universal problem in the world because it effects the people in the world. The growth of uncontrolled and abnormal cells in the body is known as cancer. These cells with abnormal named as cells of cancer, cells of malignant or cells of tumour. To recognize the genomicorigin of tumour cell explosion and the development of the cancer genome the normal cell and tumour cell are compared to find which type of cancer it is. The growingaccessibility and development rate of “Big Data” derivative from ofnumerous omics exposed a novelframe to expand diagnoses of clinical or cancertherapeutics, however there areseveralexperiments in effective analysis and explanation of such complexandbig data. The significance of categorizing cancer patients hooked on loworhigh risk setsconsumesdirectedseveral research groups, from the bioinformaticsandthe biomedical area, to learn the solicitation of machine learning (ML) techniques. Thus, these methods have remainedconsumed as an intention to classicadvancement and treatment of conditions of cancerous. In adding, the capability of ML implements to discovervital features from compound datasets exposes their prominence.
Keywords:
  • PDF (853 K)
  • XML
(2020). Cancer Genome Classification Using Machine Learning Algorithm. European Journal of Molecular & Clinical Medicine, 7(10), 923-935.
Tahmeena Fatima , S Jyothi , D M Mamatha , K Srujan Raju. "Cancer Genome Classification Using Machine Learning Algorithm". European Journal of Molecular & Clinical Medicine, 7, 10, 2020, 923-935.
(2020). 'Cancer Genome Classification Using Machine Learning Algorithm', European Journal of Molecular & Clinical Medicine, 7(10), pp. 923-935.
Cancer Genome Classification Using Machine Learning Algorithm. European Journal of Molecular & Clinical Medicine, 2020; 7(10): 923-935.
  • RIS
  • EndNote
  • BibTeX
  • APA
  • MLA
  • Harvard
  • Vancouver
  • Article View: 110
  • PDF Download: 237
  • LinkedIn
  • Twitter
  • Facebook
  • Google
  • Telegram
Journal Information

Publisher:

Email:  editor.ejmcm21@gmail.com

  • Home
  • Glossary
  • News
  • Aims and Scope
  • Privacy Policy
  • Sitemap

 

For Special Issue Proposal : editor.ejmcm21@gmail.com

This journal is licensed under a Creative Commons Attribution 4.0 International (CC-BY 4.0)

Powered by eJournalPlus