Towards estimating gene network using structure learning

Suhaila Zainudin, Safaai Deris

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

1 Citation (Scopus)

Abstract

Gene network is a representation of gene interactions. A gene usually collaborates with other genes in order to function. Past researches have successfully estimated gene network from gene expression microarray data. Gene expression data represent different levels of gene expressions for organisms during biological activity such as cell division. A framework for gene network estimation is to normalize gene expression data, discretise data, learn gene network and view network. Learning gene network uses hill-climbing approach that selects the highest scoring network in relation to the data as the best estimated network. This framework was used to learn the gene network for 3 subnetworks using S.cerevisiae gene expression data from Spellman dataset. The estimated subnetworks were compared to results from a past research. From 3 subnetworks, one subnetwork matched previous result, the other has mixed results and the last subnetwork did not match at all. This results show that Bayesian Network technique may be used to estimate gene network. However, better network may be estimated if previous knowledge is used with gene expression data.

Original languageEnglish
Title of host publicationProceedings of the 2nd IASTED International Conference on Computational Intelligence, CI 2006
Pages436-441
Number of pages6
Publication statusPublished - 2006
Event2nd IASTED International Conference on Computational Intelligence, CI 2006 - San Francisco, CA
Duration: 20 Nov 200622 Nov 2006

Other

Other2nd IASTED International Conference on Computational Intelligence, CI 2006
CitySan Francisco, CA
Period20/11/0622/11/06

Fingerprint

Genes
Gene expression
Bayesian networks
Microarrays
Bioactivity
Cells

Keywords

  • Bayesian network
  • Gene interaction
  • Gene network
  • Microarray

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computational Mechanics

Cite this

Zainudin, S., & Deris, S. (2006). Towards estimating gene network using structure learning. In Proceedings of the 2nd IASTED International Conference on Computational Intelligence, CI 2006 (pp. 436-441)

Towards estimating gene network using structure learning. / Zainudin, Suhaila; Deris, Safaai.

Proceedings of the 2nd IASTED International Conference on Computational Intelligence, CI 2006. 2006. p. 436-441.

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

Zainudin, S & Deris, S 2006, Towards estimating gene network using structure learning. in Proceedings of the 2nd IASTED International Conference on Computational Intelligence, CI 2006. pp. 436-441, 2nd IASTED International Conference on Computational Intelligence, CI 2006, San Francisco, CA, 20/11/06.
Zainudin S, Deris S. Towards estimating gene network using structure learning. In Proceedings of the 2nd IASTED International Conference on Computational Intelligence, CI 2006. 2006. p. 436-441
Zainudin, Suhaila ; Deris, Safaai. / Towards estimating gene network using structure learning. Proceedings of the 2nd IASTED International Conference on Computational Intelligence, CI 2006. 2006. pp. 436-441
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