Coalesce Gene Regulatory Network Reconstruction: A Cross-Platform Transcriptional Gene Network Fusion Framework

Sehgal, Shoaib; Gondal, Iqbal and Dooley, Laurence S. (2006). Coalesce Gene Regulatory Network Reconstruction: A Cross-Platform Transcriptional Gene Network Fusion Framework. In: IEEE International TENCON 2006 Conference, 14-17 Nov 2006, Hong Kong.

DOI: https://doi.org/10.1109/TENCON.2006.343719

Abstract

Noisy nature of microarray data and platform bias has urged the need of cross-platform gene regulatory network (GRN) fusion. This is, however, a difficult task because gene expressions generated from different platforms are not directly comparable. This paper presents Coalesce GRN (CGRN) reconstruction framework which integrates cross-platform GRN to remove platform and experimental bias using Dempster Shafer theory of evidence. The proposed model mimics inherent fuzzy nature of gene co-regulation by using fuzzy logic and automatically determines model parameters. The CGRN was used to find common cancer related regulatory links in ten different datasets generated by different microarray platforms, including cDNA and affymetrix arrays. The experimental results have demonstrated that CGRN can be applied effectively for the fusion of cross-platform gene networks

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About

• Item ORO ID
• 10636
• Item Type
• Conference or Workshop Item
• Academic Unit or School
• Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
  Faculty of Science, Technology, Engineering and Mathematics (STEM)
• Research Group
• Centre for Research in Computing (CRC)
• Depositing User
• Laurence Dooley