A review of clustering algorithms for determination of cancer signatures
Joint Authors
al-Bahnasi, Khalid
Ramadan, Hasan Sayyid
Source
International Journal of Intelligent Computing and Information Sciences
Issue
Vol. 22, Issue 3 (31 Aug. 2022), pp.138-151, 14 p.
Publisher
Ain Shams University Faculty of Computer and Information Sciences
Publication Date
2022-08-31
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
Important information needed to comprehend the biological processes that happen in a specific organism, and for sure with a relevance to its environment.
gene expression data is responsible to hide that.
we can improve our understanding of functional genomics, and this is possible if we understood the underlying trends in gene expression data.
the difficulty of understanding and interpreting the resulting deluge of data is exacerbated by the complexity of biological networks.
these issues need to be resolved, so clustering algorithms is used as a start for that.
also, they are needed in many files like the data mining.
they can find the natural structures.
they are able to extract the most effective patterns.
it has been demonstrated that clustering gene expression data is effective for discovering the gene expression data’s natural structure, comprehending cellular processes, gene functions, and cell subtypes, mining usable information from comprehending gene regulation, and noisy data.
this review examines the various clustering algorithms that could be applied to the gene expression data, this is aiming to identify the signature genes of biological diseases, which is one the most significant applications of clustering techniques.
American Psychological Association (APA)
Ramadan, Hasan Sayyid& al-Bahnasi, Khalid. 2022. A review of clustering algorithms for determination of cancer signatures. International Journal of Intelligent Computing and Information Sciences،Vol. 22, no. 3, pp.138-151.
https://search.emarefa.net/detail/BIM-1409080
Modern Language Association (MLA)
Ramadan, Hasan Sayyid& al-Bahnasi, Khalid. A review of clustering algorithms for determination of cancer signatures. International Journal of Intelligent Computing and Information Sciences Vol. 22, no. 3 (Aug. 2022), pp.138-151.
https://search.emarefa.net/detail/BIM-1409080
American Medical Association (AMA)
Ramadan, Hasan Sayyid& al-Bahnasi, Khalid. A review of clustering algorithms for determination of cancer signatures. International Journal of Intelligent Computing and Information Sciences. 2022. Vol. 22, no. 3, pp.138-151.
https://search.emarefa.net/detail/BIM-1409080
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 150-151
Record ID
BIM-1409080