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A Study on the Most Common Algorithms Implemented for Cancer Gene Search and Classifications

Al-Rajab, Murad and Lu, Joan (2016) A Study on the Most Common Algorithms Implemented for Cancer Gene Search and Classifications. International Journal of Data Mining and Bioinformatics, 14 (2). pp. 159-176. ISSN 1748-5681

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Abstract

Understanding the gene expression is an important factor to cancer diagnosis. One target of this understanding is implementing cancer gene search and classification methods. However, cancer gene search and classification is a challenge in that there is no obvious exact algorithm that can be implemented individually for various cancer cells. In this paper, a research is conducted through the most common top ranked algorithms implemented for cancer gene search and classification, and how they are implemented to reach a better performance. The paper will distinguish algorithms implemented for Bio image analysis for cancer cells and algorithms implemented based on DNA microarray data. The paper will also explore the road map towards presenting the most current algorithms implemented for cancer gene search and classification, as well as focusing on the importance of the searching algorithms and how they are implemented to enhance searching and what factors affects the performance.

Item Type: Article
Subjects: Q Science > Q Science (General)
Schools: School of Computing and Engineering
Related URLs:
Depositing User: Murad Al-Rajab
Date Deposited: 20 Jul 2015 13:40
Last Modified: 06 Dec 2016 06:39
URI: http://eprints.hud.ac.uk/id/eprint/25208

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