Identifying prostate cancer-related networks from microarray data based on genotype-phenotype networks using Markov blanket search

Hsiang Yuan Yeh*, Yi Yu Liu, Cheng Yu Yeh, Von Wun Soo

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The identification of significant disease-related genes and networks is an important issue in understanding underlying mechanisms of cells. We integrate phenotype networks, protein networks and efficiently utilize gene expression data to identify human disease networks. We use prostate cancer data as our test domain. In comparison with statistical methods such as t-test and Wilcoxon test, our method identifies more prostate cancer-related genes reported in published database and literature. Interleukin-type growth factors, Ras related oncogenes and cytokine interactions canonical pathways are found to be significantly related to prostate cancer.

Original languageEnglish
Title of host publication10th IEEE International Conference on Bioinformatics and Bioengineering 2010, BIBE 2010
Pages302-303
Number of pages2
DOIs
StatePublished - 2010
Externally publishedYes
Event10th IEEE International Conference on Bioinformatics and Bioengineering, BIBE-2010 - Philadelphia, PA, United States
Duration: 31 05 201003 06 2010

Publication series

Name10th IEEE International Conference on Bioinformatics and Bioengineering 2010, BIBE 2010

Conference

Conference10th IEEE International Conference on Bioinformatics and Bioengineering, BIBE-2010
Country/TerritoryUnited States
CityPhiladelphia, PA
Period31/05/1003/06/10

Keywords

  • Markov blanket search
  • Microarry data
  • Phenotype networks
  • Prostate cancer
  • Protein-protein interaction networks

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