Algorithms implemented for cancer gene searching and classifications

Murad M. Al-Rajab, Joan Lu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

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 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 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.

Original languageEnglish
Title of host publicationBioinformatics Research and Applications - 10th International Symposium, ISBRA 2014, Proceedings
PublisherSpringer Verlag
Pages59-70
Number of pages12
Volume8492 LNBI
ISBN (Print)9783319081700
DOIs
Publication statusPublished - 2014
Event10th International Symposium on Bioinformatics Research and Applications - Zhangjiajie, China
Duration: 28 Jun 201430 Jun 2014
Conference number: 10

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8492 LNBI
ISSN (Print)03029743
ISSN (Electronic)16113349

Conference

Conference10th International Symposium on Bioinformatics Research and Applications
Abbreviated titleISBRA 2014
CountryChina
CityZhangjiajie
Period28/06/1430/06/14

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  • Cite this

    Al-Rajab, M. M., & Lu, J. (2014). Algorithms implemented for cancer gene searching and classifications. In Bioinformatics Research and Applications - 10th International Symposium, ISBRA 2014, Proceedings (Vol. 8492 LNBI, pp. 59-70). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8492 LNBI). Springer Verlag. https://doi.org/10.1007/978-3-319-08171-7_6