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A Bayesian Hierarchical Model to Derive Novel Gene Networks from Gene Ontology Fingerprints

Tingting Qin¹, Lam Tsoi¹, Andrew Lawson¹ & Jim Zheng¹

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1. Medical University of South Carolina

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Document Type:

Manuscript

Date:

Received 29 July 2009 15:15 UTC; Posted 29 July 2009

Subjects:

Bioinformatics

Tags:

• Bayesian Hierarchical Model
• ontology fingerprints
• gene networks
• gene ontology
• ontology

Abstract:

We developed a Bayesian hierarchical model to identify gene networks based on the similarity score generated from comparing the gene ontology fingerprints of gene pairs. Genes in this network were assumed to have similar biological functions that can be indicated by their ontology fingerprints. Our results indicate that different pathways show consistent score threshold that allow us to distinguish biological relevant gene—gene connections in the network.

Collection:

International Conference on Biomedical Ontology

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This document is licensed to the public under the Creative Commons Attribution 3.0 License

How to cite this document:

Qin, Tingting, Tsoi, Lam, Lawson, Andrew, and Zheng, Jim. A Bayesian Hierarchical Model to Derive Novel Gene Networks from Gene Ontology Fingerprints. Available from Nature Precedings <http://dx.doi.org/10.1038/npre.2009.3511.1> (2009)

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