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Algorithms Implemented for Cancer Gene Searching and Classifications

Al-Rajab, Murad and Lu, Joan (2014) Algorithms Implemented for Cancer Gene Searching and Classifications. In: The 10th International Symposium on Bioinformatics Research and Applications (ISBRA2014), 26-29 June 2014, Zhangjiajie, China..

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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 an obvious exact algorithm that can be implemented individually for various cancer cells. In this paper a research is con-ducted 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 array data. The main purpose of this paper is to explore a road map towards presenting the most current algorithms implemented for cancer gene search and classification.

Item Type: Conference or Workshop Item (Paper)
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Schools: School of Computing and Engineering
Related URLs:
Depositing User: Murad Al-Rajab
Date Deposited: 17 Jul 2014 14:25
Last Modified: 06 Dec 2016 08:24
URI: http://eprints.hud.ac.uk/id/eprint/21208

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