Using frequent co-expression network to identify gene clusters for breast cancer prognosis

Jie Zhang, Kun Huang, Yang Xiang, Ruoming Jin

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

11 Citations (Scopus)

Abstract

In this paper, we investigated the use of gene co-expression network analyses to identify potential biomarkers for breast carcinoma prognosis. The network mining algorithm CODENSE is used to identify highly connected genome-wide gene co-expression networks among a variety of cancer types, and the resulted gene clusters are applied to a series of breast cancer microarray sets to categorize the patients into different groups. As a result, we have identified a set of genes that are potential biomarkers for breast cancer prognosis which can categorize the patients into two groups with distinct prognosis. We also compared the gene clusters we discovered with gene subsets identified from similar studies using other clustering algorithms.

Original languageEnglish (US)
Title of host publicationProceedings - 2009 International Joint Conference on Bioinformatics, Systems Biology and Intelligent Computing, IJCBS 2009
Pages428-434
Number of pages7
DOIs
StatePublished - Nov 26 2009
Externally publishedYes
Event2009 International Joint Conference on Bioinformatics, Systems Biology and Intelligent Computing, IJCBS 2009 - Shanghai, China
Duration: Aug 3 2009Aug 5 2009

Other

Other2009 International Joint Conference on Bioinformatics, Systems Biology and Intelligent Computing, IJCBS 2009
CountryChina
CityShanghai
Period8/3/098/5/09

Fingerprint

Genes
Biomarkers
Microarrays
Set theory
Clustering algorithms

Keywords

  • Breast cancer prognosis
  • CODENSE
  • Coexpression network
  • Gene cluster

ASJC Scopus subject areas

  • Software
  • Biomedical Engineering

Cite this

Zhang, J., Huang, K., Xiang, Y., & Jin, R. (2009). Using frequent co-expression network to identify gene clusters for breast cancer prognosis. In Proceedings - 2009 International Joint Conference on Bioinformatics, Systems Biology and Intelligent Computing, IJCBS 2009 (pp. 428-434). [5260407] https://doi.org/10.1109/IJCBS.2009.29

Using frequent co-expression network to identify gene clusters for breast cancer prognosis. / Zhang, Jie; Huang, Kun; Xiang, Yang; Jin, Ruoming.

Proceedings - 2009 International Joint Conference on Bioinformatics, Systems Biology and Intelligent Computing, IJCBS 2009. 2009. p. 428-434 5260407.

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

Zhang, J, Huang, K, Xiang, Y & Jin, R 2009, Using frequent co-expression network to identify gene clusters for breast cancer prognosis. in Proceedings - 2009 International Joint Conference on Bioinformatics, Systems Biology and Intelligent Computing, IJCBS 2009., 5260407, pp. 428-434, 2009 International Joint Conference on Bioinformatics, Systems Biology and Intelligent Computing, IJCBS 2009, Shanghai, China, 8/3/09. https://doi.org/10.1109/IJCBS.2009.29
Zhang J, Huang K, Xiang Y, Jin R. Using frequent co-expression network to identify gene clusters for breast cancer prognosis. In Proceedings - 2009 International Joint Conference on Bioinformatics, Systems Biology and Intelligent Computing, IJCBS 2009. 2009. p. 428-434. 5260407 https://doi.org/10.1109/IJCBS.2009.29
Zhang, Jie ; Huang, Kun ; Xiang, Yang ; Jin, Ruoming. / Using frequent co-expression network to identify gene clusters for breast cancer prognosis. Proceedings - 2009 International Joint Conference on Bioinformatics, Systems Biology and Intelligent Computing, IJCBS 2009. 2009. pp. 428-434
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