Functional grouping of genes using spectral clustering and gene ontology

Autor:	N. Speer, Holger Fröhlich, Andreas Zell, Christian Spieth
Rok vydání:	2006
Předmět:	Biological data Computer science Gene ontology Mechanism (biology) ComputingMethodologies_GENERAL Data mining computer.software_genre Gene computer Throughput (business) Spectral clustering Gene ontology annotation
Zdroj:	Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005..
DOI:	10.1109/ijcnn.2005.1555846
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::b564c5140b4a2ac3282c18a7fe3afad2 https://doi.org/10.1109/ijcnn.2005.1555846 Zobrazit plný text záznamu