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Functional grouping of genes using spectral clustering and Gene Ontology

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4 Author(s)
N. Speer ; Tubingen Univ., Germany ; H. Frohlich ; C. Spieth ; A. Zell

With the invention of high throughput methods, researchers are capable of producing large amounts of biological data. During the analysis of such data the need for a functional grouping of genes arises. In this paper, we propose a new method based on spectral clustering for the partitioning of genes according to their biological function. The functional information is based on Gene Ontology annotation, a mechanism to capture functional knowledge in a shareable and computer processable form. Our functional cluster method promises to automates, speed up and therefore improve biological data analysis.

Published in:

Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.  (Volume:1 )

Date of Conference:

31 July-4 Aug. 2005