A pageranking based method for identifying characteristic genes of a disease

Dang Thanh Hai, Wonjun Lee, Ha Quang Thuy

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish
Title of host publicationProceedings of 2008 IEEE International Conference on Networking, Sensing and Control, ICNSC
Pages1496-1499
Number of pages4
DOIs
Publication statusPublished - 2008
Event2008 IEEE International Conference on Networking, Sensing and Control, ICNSC - Sanya, China
Duration: 2008 Apr 62008 Apr 8

Publication series

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

Other

Other2008 IEEE International Conference on Networking, Sensing and Control, ICNSC
CountryChina
CitySanya
Period08/4/608/4/8

Keywords

  • Feature set
  • Gene networks
  • Rank of genes

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Control and Systems Engineering

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