Algorithms implemented for cancer gene searching and classifications

Murad M. Al-Rajab; Joan Lu

doi:10.1007/978-3-319-08171-7_6

Algorithms implemented for cancer gene searching and classifications

Murad M. Al-Rajab, Joan Lu

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 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 language	English
Title of host publication	Bioinformatics Research and Applications - 10th International Symposium, ISBRA 2014, Proceedings
Publisher	Springer Verlag
Pages	59-70
Number of pages	12
Volume	8492 LNBI
ISBN (Print)	9783319081700
DOIs	https://doi.org/10.1007/978-3-319-08171-7_6
Publication status	Published - 2014
Event	10th International Symposium on Bioinformatics Research and Applications - Zhangjiajie, China Duration: 28 Jun 2014 → 30 Jun 2014 Conference number: 10

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	8492 LNBI
ISSN (Print)	03029743
ISSN (Electronic)	16113349

Conference

Conference	10th International Symposium on Bioinformatics Research and Applications
Abbreviated title	ISBRA 2014
Country/Territory	China
City	Zhangjiajie
Period	28/06/14 → 30/06/14

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Access to Document

10.1007/978-3-319-08171-7_6Licence: Other

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

Al-Rajab, Murad M. ; Lu, Joan. / Algorithms implemented for cancer gene searching and classifications. Bioinformatics Research and Applications - 10th International Symposium, ISBRA 2014, Proceedings. Vol. 8492 LNBI Springer Verlag, 2014. pp. 59-70 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Algorithms implemented for cancer gene searching and classifications",

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.",

keywords = "cancer, classification algorithms, genes, searching algorithms",

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booktitle = "Bioinformatics Research and Applications - 10th International Symposium, ISBRA 2014, Proceedings",

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Al-Rajab, MM & 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, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8492 LNBI, Springer Verlag, pp. 59-70, 10th International Symposium on Bioinformatics Research and Applications, Zhangjiajie, China, 28/06/14. https://doi.org/10.1007/978-3-319-08171-7_6

Algorithms implemented for cancer gene searching and classifications. / Al-Rajab, Murad M.; Lu, Joan.
Bioinformatics Research and Applications - 10th International Symposium, ISBRA 2014, Proceedings. Vol. 8492 LNBI Springer Verlag, 2014. p. 59-70 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8492 LNBI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Algorithms implemented for cancer gene searching and classifications

AU - Al-Rajab, Murad M.

AU - Lu, Joan

N1 - Conference code: 10

PY - 2014

Y1 - 2014

N2 - 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.

AB - 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.

KW - cancer

KW - classification algorithms

KW - genes

KW - searching algorithms

UR - https://www.scopus.com/pages/publications/84958526068

U2 - 10.1007/978-3-319-08171-7_6

DO - 10.1007/978-3-319-08171-7_6

M3 - Conference contribution

AN - SCOPUS:84958526068

SN - 9783319081700

VL - 8492 LNBI

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 59

EP - 70

BT - Bioinformatics Research and Applications - 10th International Symposium, ISBRA 2014, Proceedings

PB - Springer Verlag

T2 - 10th International Symposium on Bioinformatics Research and Applications

Y2 - 28 June 2014 through 30 June 2014

ER -

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

Algorithms implemented for cancer gene searching and classifications

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