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Prioritizing Disease Genes and Understanding Disease Pathways

Prioritizing Disease Genes and Understanding Disease Pathways

Xiaoyue Zhao, Lilia M. Iakoucheva, Michael Q. Zhang
Copyright: © 2009 |Pages: 18
ISBN13: 9781605663982|ISBN10: 1605663980|ISBN13 Softcover: 9781616925253|EISBN13: 9781605663999
DOI: 10.4018/978-1-60566-398-2.ch014
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MLA

Zhao, Xiaoyue, et al. "Prioritizing Disease Genes and Understanding Disease Pathways." Biological Data Mining in Protein Interaction Networks, edited by Xiao-Li Li and See-Kiong Ng, IGI Global, 2009, pp. 239-256. https://doi.org/10.4018/978-1-60566-398-2.ch014

APA

Zhao, X., Iakoucheva, L. M., & Zhang, M. Q. (2009). Prioritizing Disease Genes and Understanding Disease Pathways. In X. Li & S. Ng (Eds.), Biological Data Mining in Protein Interaction Networks (pp. 239-256). IGI Global. https://doi.org/10.4018/978-1-60566-398-2.ch014

Chicago

Zhao, Xiaoyue, Lilia M. Iakoucheva, and Michael Q. Zhang. "Prioritizing Disease Genes and Understanding Disease Pathways." In Biological Data Mining in Protein Interaction Networks, edited by Xiao-Li Li and See-Kiong Ng, 239-256. Hershey, PA: IGI Global, 2009. https://doi.org/10.4018/978-1-60566-398-2.ch014

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Abstract

Genetic factors play a major role in the etiology of many human diseases. Genome-wide experimental methods produce an increasing number of genes associated with such diseases. This chapter introduces data sources, bioinformatics tools, and computational methods for prioritizing disease candidate genes and identifying disease pathways. The main strategy is to examine the similarity among the candidate genes and known disease genes at the functional level. The authors review different similarity measures and prevailing methods for integrating results from different functional aspects. They hope this chapter will help advocate many useful resources that the researchers can use to investigate diseases of their interest.

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