A pageranking based method for identifying characteristic genes of a disease

Dang Thanh Hai; Wonjun Lee; Ha Quang Thuy

doi:10.1109/ICNSC.2008.4525457

A pageranking based method for identifying characteristic genes of a disease

Dang Thanh Hai, Wonjun Lee, Ha Quang Thuy

School of Cybersecurity

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

3 Citations (Scopus)

Abstract

Ranking is an importance task in the research field of complex biological networks, including gene networks [11]. In this article, we propose a method for ranking the genes causing a specific type of disease, special characteristics of samples under a particular condition. Genes with the highest scores may be considered as the key factors leading to the development of disease type in the studied samples. The experience results on the gene expression data of two subtypes of Leukemia cancer disease, i.e., ALB and ALT for B-cells and T-cells are respectively showed.

Original language	English
Title of host publication	Proceedings of 2008 IEEE International Conference on Networking, Sensing and Control, ICNSC
Pages	1496-1499
Number of pages	4
DOIs	https://doi.org/10.1109/ICNSC.2008.4525457
Publication status	Published - 2008
Event	2008 IEEE International Conference on Networking, Sensing and Control, ICNSC - Sanya, China Duration: 2008 Apr 6 → 2008 Apr 8

Publication series

Name	Proceedings of 2008 IEEE International Conference on Networking, Sensing and Control, ICNSC

Other

Other	2008 IEEE International Conference on Networking, Sensing and Control, ICNSC
Country/Territory	China
City	Sanya
Period	08/4/6 → 08/4/8

Keywords

Feature set
Gene networks
Rank of genes

ASJC Scopus subject areas

Computer Networks and Communications
Control and Systems Engineering

UN SDGs

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

Access to Document

10.1109/ICNSC.2008.4525457

Cite this

Hai, D. T., Lee, W., & Thuy, H. Q. (2008). A pageranking based method for identifying characteristic genes of a disease. In Proceedings of 2008 IEEE International Conference on Networking, Sensing and Control, ICNSC (pp. 1496-1499). [4525457] (Proceedings of 2008 IEEE International Conference on Networking, Sensing and Control, ICNSC). https://doi.org/10.1109/ICNSC.2008.4525457

A pageranking based method for identifying characteristic genes of a disease. / Hai, Dang Thanh; Lee, Wonjun; Thuy, Ha Quang.
Proceedings of 2008 IEEE International Conference on Networking, Sensing and Control, ICNSC. 2008. p. 1496-1499 4525457 (Proceedings of 2008 IEEE International Conference on Networking, Sensing and Control, ICNSC).

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

Hai, DT, Lee, W & Thuy, HQ 2008, A pageranking based method for identifying characteristic genes of a disease. in Proceedings of 2008 IEEE International Conference on Networking, Sensing and Control, ICNSC., 4525457, Proceedings of 2008 IEEE International Conference on Networking, Sensing and Control, ICNSC, pp. 1496-1499, 2008 IEEE International Conference on Networking, Sensing and Control, ICNSC, Sanya, China, 08/4/6. https://doi.org/10.1109/ICNSC.2008.4525457

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AB - Ranking is an importance task in the research field of complex biological networks, including gene networks [11]. In this article, we propose a method for ranking the genes causing a specific type of disease, special characteristics of samples under a particular condition. Genes with the highest scores may be considered as the key factors leading to the development of disease type in the studied samples. The experience results on the gene expression data of two subtypes of Leukemia cancer disease, i.e., ALB and ALT for B-cells and T-cells are respectively showed.

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ER -

A pageranking based method for identifying characteristic genes of a disease

Abstract

Publication series

Other

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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