Biology White Papers

Relevance Networks—a Powerful Bioinformatics Analysis Method in Functional Genomics

Overview Relevance Networks is an algorithm that compares gene expression patterns in a multi-dimensional, clustering view showing the positive and negative relationships of genes within a cluster, and their participation in more than one pathway. It provides bioinformaticians and biologists with a more efficient method of analyzing genes and their functions than the other commonly used methods. This paper describes the various methods that are used for gene expression analysis, and describes the advantages of the Relevance Networks.

Further White Paper Details
PublisherXpogen File FormatPDF, requires Acrobat Rdr 5
Date PublishedAugust 2003 Downloads16
FormatWhite Papers   
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